Triple
T9687197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariners Harbor |
E234440
|
entity |
| Predicate | waterfrontOn |
P19053
|
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: [Mariners Harbor, waterfrontOn, Kill Van Kull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kill Van Kull Context triple: [Mariners Harbor, waterfrontOn, 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.
Kill V. Maim
"Kill V. Maim" is a high-energy, genre-blending electronic pop song by Grimes known for its aggressive vocals, futuristic production, and cult fan following.
-
D.
Pathhead
Pathhead is a small village in Midlothian, Scotland, known for its rural setting and proximity to Edinburgh.
-
E.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd42cc081909abcf4c85592d950 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f76aca481909692b29cac3c3dc3 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:17 p.m.