Triple
T2852726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hudson Line |
E63128
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Beacon |
E15760
|
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: Beacon | Statement: [Hudson Line, servesCity, Beacon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beacon Context triple: [Hudson Line, servesCity, Beacon]
-
A.
Beacon
chosen
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
-
B.
Beacons
The Beacons are the athletic teams representing the University of Massachusetts Boston in intercollegiate sports.
-
C.
The Beacon
The Beacon is a prominent hill on the Gower Peninsula in Wales, known for its elevated views over the surrounding coastline and countryside.
-
D.
Blackridge
Blackridge is a village in West Lothian, Scotland, situated between Bathgate and Armadale with a largely residential and commuter community.
-
E.
The Fort
The Fort is a dedicated supporters’ section known for housing the most passionate fans of the New England Revolution at their home matches.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf5e043c8190ac82112abce7262a |
completed | March 7, 2026, 8:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8e4e0b881908de5c4927609725e |
completed | March 10, 2026, 9:48 a.m. |
Created at: March 6, 2026, 10:02 p.m.