Triple
T12414568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viewliner |
E296601
|
entity |
| Predicate | usedOnService |
P2367
|
FINISHED |
| Object | Crescent |
E9916
|
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: Crescent | Statement: [Viewliner, usedOnService, Crescent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crescent Context triple: [Viewliner, usedOnService, Crescent]
-
A.
Crescent
chosen
Crescent is a long-distance Amtrak passenger train that runs between New York City and New Orleans, serving major cities along the U.S. East Coast and Deep South.
-
B.
The Crescent
The Crescent is an iconic Georgian crescent-shaped building in Buxton, Derbyshire, historically developed as a grand spa hotel and assembly rooms and now a prominent architectural landmark.
-
C.
The Crescent
The Crescent is a notable curved Georgian terrace and architectural landmark in the market town of Wisbech, Cambridgeshire, England.
-
D.
The Crescent
The Crescent is a major retail and leisure complex in Hinckley, England, featuring a mix of shops, restaurants, and entertainment facilities.
-
E.
Crescentino
Crescentino is a municipality in the Piedmont region of northwestern Italy, situated in the province of Vercelli.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6c4f6c8190bc99d3f7b64205c3 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348ccaf88190aeb0dfb7fe1d8dec |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.