Triple
T13061580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station Muiderpoort |
E329209
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
ASDM
ASDM is the official station code used to identify Amsterdam Muiderpoort railway station in the Netherlands.
|
E1017385
|
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: ASDM | Statement: [Station Muiderpoort, hasStationCode, ASDM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ASDM Context triple: [Station Muiderpoort, hasStationCode, ASDM]
-
A.
ASDM
ASDM is the commonly used abbreviation for the Arizona-Sonora Desert Museum, a renowned indoor-outdoor museum, zoo, and botanical garden in Tucson, Arizona, focused on the Sonoran Desert ecosystem.
-
B.
SDM
SDM is the ICAO airline designator used to identify Rossiya Airlines in international aviation operations.
-
C.
SDM
SDM refers to a Sub-Divisional Magistrate, a key administrative and executive officer in charge of governance, revenue, and law-and-order functions within a sub-division of a district in India.
-
D.
SDM
SDM is the IATA airport code for Brown Field Municipal Airport, a public airport serving the San Diego, California area.
-
E.
SADM
SADM is the ICAO airport code assigned to Morón Air Base in Argentina.
- 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: ASDM Triple: [Station Muiderpoort, hasStationCode, ASDM]
Generated description
ASDM is the official station code used to identify Amsterdam Muiderpoort railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ASDM Target entity description: ASDM is the official station code used to identify Amsterdam Muiderpoort railway station in the Netherlands.
-
A.
ASDM
ASDM is the commonly used abbreviation for the Arizona-Sonora Desert Museum, a renowned indoor-outdoor museum, zoo, and botanical garden in Tucson, Arizona, focused on the Sonoran Desert ecosystem.
-
B.
SDM
SDM refers to a Sub-Divisional Magistrate, a key administrative and executive officer in charge of governance, revenue, and law-and-order functions within a sub-division of a district in India.
-
C.
SDM
SDM is the IATA airport code for Brown Field Municipal Airport, a public airport serving the San Diego, California area.
-
D.
SDM
SDM is the ICAO airline designator used to identify Rossiya Airlines in international aviation operations.
-
E.
SADM
SADM is the ICAO airport code assigned to Morón Air Base in Argentina.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980e7ee548190b4b18bdb1357c359 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe45c8c819080fbdf1d94376feb |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd3d5090819091b65f544ad139fd |
completed | May 3, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6cdc8d52c819083717a455d589646 |
completed | May 3, 2026, 4:23 a.m. |
Created at: April 9, 2026, 8:59 p.m.