Triple
T1662682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halesite, New York |
E35943
|
entity |
| Predicate | bordersWaterBody |
P212
|
FINISHED |
| Object | Huntington Harbor |
E20528
|
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: Huntington Harbor | Statement: [Halesite, New York, bordersWaterBody, Huntington Harbor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huntington Harbor Context triple: [Halesite, New York, bordersWaterBody, Huntington Harbor]
-
A.
Huntington Harbor
chosen
Huntington Harbor is a sheltered waterfront area and marina district on Long Island’s north shore, known for recreational boating and scenic coastal views.
-
B.
Calumet Harbor
Calumet Harbor is a commercial and industrial harbor on the southwest shore of Lake Michigan that serves as a key shipping and transportation hub for the Chicago region.
-
C.
Montrose Harbor
Montrose Harbor is a popular Chicago marina on Lake Michigan known for its boating facilities, skyline views, and proximity to Montrose Beach and parkland.
-
D.
Belmar
Belmar is a popular coastal borough in Monmouth County, New Jersey, known for its sandy beaches, boardwalk, and vibrant summer tourism scene.
-
E.
Belmar
Belmar is a prominent mixed-use shopping, dining, and entertainment district serving as a central urban hub in Lakewood, Colorado.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90ab5d1a08190a3325ff203b573fb |
completed | March 5, 2026, 4:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71adb0388190b358e83fa8dfaef5 |
completed | March 8, 2026, 12:55 p.m. |
Created at: March 4, 2026, 7:29 p.m.