Triple
T2271607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Waterloo railway station |
E50670
|
entity |
| Predicate | hasStationCode |
P1289
|
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: [London Waterloo railway station, hasStationCode, WAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WAT Context triple: [London Waterloo railway station, hasStationCode, 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.
WAS
WAS is the standard three-letter abbreviation used for the Washington Commanders NFL franchise.
-
C.
WAS
WAS is the station code for Washington, D.C.’s main intercity and commuter rail hub, Union Station.
-
D.
WAS
WAS is the standard three-letter abbreviation used for the NBA team Washington Wizards.
-
E.
Waic
Waic is a subgroup of related Austroasiatic languages spoken primarily by the Wa people in parts of China and Myanmar.
- 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_69a88b05910c8190a9a2b1ff230c85f9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1c0de488190876b644cdaa41637 |
completed | March 7, 2026, 6:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f0ed1b881909ba3c7f9fea50267 |
completed | March 9, 2026, 8:04 a.m. |
Created at: March 4, 2026, 7:48 p.m.