Triple
T8689027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayonne ham |
E206237
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Bayonne |
E41714
|
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: Bayonne | Statement: [Bayonne ham, namedAfter, Bayonne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bayonne Context triple: [Bayonne ham, namedAfter, Bayonne]
-
A.
Bayonne
chosen
Bayonne is a historic city in southwestern France near the Atlantic coast, known for its Basque culture, chocolate-making tradition, and annual festivals.
-
B.
Bayonne, New Jersey
Bayonne, New Jersey is an industrial and residential city in Hudson County located on a peninsula between Newark Bay, the Kill Van Kull, and Upper New York Bay, just south of Jersey City.
-
C.
Jersey City
Jersey City is a major New Jersey city across the Hudson River from Lower Manhattan, known for its waterfront skyline, diverse communities, and role as a key financial and transportation hub in the New York metropolitan area.
-
D.
Hoboken
Hoboken is a small New Jersey city across the Hudson River from Manhattan, known for its waterfront views, historic brownstones, and vibrant dining and nightlife scene.
-
E.
Hoboken
Hoboken is a district of the Belgian city of Antwerp, known for its residential character and industrial areas along the Scheldt River.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc57334b0c8190903a5a1784e74791 |
completed | March 31, 2026, 11:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf288acb348190829e149a9089a0a1 |
completed | April 3, 2026, 2:40 a.m. |
Created at: March 30, 2026, 6:33 p.m.