Triple
T2878198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayonne Bridge |
E56929
|
entity |
| Predicate | crosses |
P416
|
FINISHED |
| Object | Kill Van Kull |
E33082
|
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: Kill Van Kull | Statement: [Bayonne Bridge, crosses, Kill Van Kull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kill Van Kull Context triple: [Bayonne Bridge, crosses, Kill Van Kull]
-
A.
Kill Van Kull
chosen
Kill Van Kull is a tidal strait in New York Harbor that serves as a major shipping channel between Newark Bay and the Upper New York Bay.
-
B.
Great Kills
Great Kills is a residential neighborhood on Staten Island’s South Shore known for its marina, waterfront parks, and suburban character.
-
C.
Pathhead
Pathhead is a small village in Midlothian, Scotland, known for its rural setting and proximity to Edinburgh.
-
D.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
-
E.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
- 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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe008925c81909683d0ebc6227e5e |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03158d0ec8190ba9675ece8f62033 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.