Triple
T5384672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterloo station |
E113173
|
entity |
| Predicate | railcode |
P27071
|
FINISHED |
| Object | WAT |
E250114
|
NE FINISHED |
How this triple was built (2 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: WAT | Statement: [Waterloo station, railcode, WAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAT Context triple: [Waterloo station, railcode, WAT]
-
A.
WAT
chosen
WAT is the National Rail station code for London Waterloo, one of the busiest and most important railway terminals in the United Kingdom.
-
B.
Wat
Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
-
C.
WAW
WAW is the three-letter IATA airport code for Warsaw Chopin Airport, the primary international airport serving Warsaw, Poland.
-
D.
WAS
WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
-
E.
WAS
WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4436a1988190af18dcff7fd306b4 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd86f5a7388190aa4ba2052afca74e |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf295030b081909bea5e946aac098b |
completed | March 21, 2026, 11:27 p.m. |
Created at: March 20, 2026, 2:03 p.m.