Triple
T3513924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atco |
E74260
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Atco station |
E322471
|
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: Atco station | Statement: [Atco, servedBy, Atco station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atco station Context triple: [Atco, servedBy, Atco station]
-
A.
Atco station
chosen
Atco station is a New Jersey Transit rail stop in Atco, New Jersey, serving passengers on the Atlantic City Line between Philadelphia and Atlantic City.
-
B.
Blaustein station
Blaustein station is a local railway stop serving the town of Blaustein in the state of Baden-Württemberg, Germany.
-
C.
Bachman station
Bachman station is a public transit stop in Dallas, Texas, served by DART’s Green Line light rail system.
-
D.
Cedar Grove station
Cedar Grove station is a small neighborhood stop on Boston's MBTA Red Line, serving the Ashmont–Mattapan High-Speed Line in the Dorchester area.
-
E.
Dorsey station
Dorsey station is a commuter rail stop in Maryland served by MARC’s Camden Line between Washington, D.C., and Baltimore.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc2efa4c8190ac1ca221f3f0eba4 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bc4e9988190921d193e84e53bf1 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:19 p.m.