Triple
T109598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Rail |
E2215
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
NR
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
|
E10465
|
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: NR | Statement: [National Rail, hasAbbreviation, NR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NR Context triple: [National Rail, hasAbbreviation, NR]
-
A.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
B.
.ng
.ng is the country code top-level domain (ccTLD) assigned to Nigeria for use in its internet addresses.
-
C.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
D.
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.
-
E.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
- 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: NR Triple: [National Rail, hasAbbreviation, NR]
Generated description
NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NR Target entity description: NR is the standard abbreviation for National Rail, the collective network of passenger railway services in Great Britain.
-
A.
NE
NE is the common abbreviation for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
-
B.
.ng
.ng is the country code top-level domain (ccTLD) assigned to Nigeria for use in its internet addresses.
-
C.
IN
IN is the two-letter ISO 3166-1 alpha-2 country code representing India in international standards and systems.
-
D.
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.
-
E.
TR
TR is the two-letter ISO 3166-1 alpha-2 country code assigned to Turkey for international standardization and referencing.
- 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_69a24fcdaeb48190a2d796677e4b3281 |
completed | Feb. 28, 2026, 2:15 a.m. |
| NER | Named-entity recognition | batch_69a256ce54b48190a3337f5f45d82859 |
completed | Feb. 28, 2026, 2:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a275e92ed08190819ad8385200dfa6 |
completed | Feb. 28, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69a276a76a008190af3972351ef33fd2 |
completed | Feb. 28, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a276f837888190ad28585f8de54f17 |
completed | Feb. 28, 2026, 5:02 a.m. |
Created at: Feb. 28, 2026, 2:20 a.m.