Triple
T3910906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nijmegen Lent railway station |
E87317
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
Nmnl
Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
|
E398378
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nmnl | Statement: [Nijmegen Lent railway station, hasAbbreviation, Nmnl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nmnl Context triple: [Nijmegen Lent railway station, hasAbbreviation, Nmnl]
-
A.
NMB
NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
-
B.
nm
nm is a command-line utility that lists and analyzes the symbols from object files and binaries, commonly used for debugging and reverse engineering in Unix-like systems.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
NAM
NAM is the commonly used abbreviation for the Non-Aligned Movement, an international grouping of states that sought to remain independent from major power blocs during the Cold War and beyond.
-
E.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nmnl Triple: [Nijmegen Lent railway station, hasAbbreviation, Nmnl]
Generated description
Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nmnl Target entity description: Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
-
A.
NMB
NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
-
B.
nm
nm is a command-line utility that lists and analyzes the symbols from object files and binaries, commonly used for debugging and reverse engineering in Unix-like systems.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
NAM
NAM is the commonly used abbreviation for the Non-Aligned Movement, an international grouping of states that sought to remain independent from major power blocs during the Cold War and beyond.
-
E.
NM 4
NM 4 is a state highway in New Mexico that runs through the Jemez Mountains, providing access to scenic landscapes, small communities, and nearby national monuments.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9424514819086e9c58adde6652d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeed3408f881908c3cffc5dbfe3950 |
completed | March 9, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51cb454c48190bf47d080f6cc24f0 |
completed | March 14, 2026, 8:30 a.m. |
| NEDg | Description generation | batch_69b5206dfd848190ae7aaa9997150934 |
completed | March 14, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b520ce6af481909b7824c2ec221331 |
completed | March 14, 2026, 8:48 a.m. |
Created at: March 9, 2026, 3:22 p.m.