Triple
T6754278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massapequa |
E154413
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Massapequa Park |
E138795
|
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: Massapequa Park | Statement: [Massapequa, adjacentTo, Massapequa Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massapequa Park Context triple: [Massapequa, adjacentTo, Massapequa Park]
-
A.
Massapequa Park
chosen
Massapequa Park is a suburban village in Nassau County, New York, located on Long Island and primarily known as a residential commuter community.
-
B.
Oak Hill Park
Oak Hill Park is a public recreational green space located in Wooster, Ohio.
-
C.
Oak Hill Park
Oak Hill Park is a public recreational green space located in the city of Olean in western New York State.
-
D.
Moakley Park
Moakley Park is a large public recreation area in South Boston known for its athletic fields, waterfront location, and community events.
-
E.
Tanglewood Park
Tanglewood Park is a local public park in Oxon Hill, Maryland, offering green space and recreational amenities for neighborhood residents.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f32fa08190bb23dc24fef14c8d |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72f86e9848190958e8f7a195fd20b |
completed | March 28, 2026, 1:31 a.m. |
Created at: March 27, 2026, 2:11 p.m.