Triple
T4059608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Railway (U.S.) |
E84776
|
entity |
| Predicate | notableTrain |
P1669
|
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: [Southern Railway (U.S.), notableTrain, Crescent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crescent Context triple: [Southern Railway (U.S.), notableTrain, 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.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
E.
Za'atara
Za'atara is a Palestinian town located in the central West Bank within the Bethlehem Governorate.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbd32c0c8190bc575974ccf831b3 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b562a98c488190a7e77cd46ff998bc |
completed | March 14, 2026, 1:29 p.m. |
Created at: March 9, 2026, 3:38 p.m.