Triple
T3552398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LIRR Hempstead Branch |
E75139
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Floral Park |
E250555
|
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: Floral Park | Statement: [LIRR Hempstead Branch, hasStation, Floral Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Floral Park Context triple: [LIRR Hempstead Branch, hasStation, Floral Park]
-
A.
Floral Park, New York
chosen
Floral Park, New York is a suburban village in Nassau County on Long Island, bordering Queens and known for its residential character and proximity to New York City.
-
B.
Fresh Meadows
Fresh Meadows is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its garden apartment complexes and suburban-style layout.
-
C.
Neponsit
Neponsit is a residential neighborhood in the Rockaway Peninsula of Queens, New York City, known for its beachfront homes and suburban character.
-
D.
Cambria Heights
Cambria Heights is a predominantly residential neighborhood in southeastern Queens, New York City, known for its suburban character and diverse community.
-
E.
Hempstead
Hempstead is a residential suburb and local community within the town of Gillingham in Kent, England.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05256f081908b8d6a5df917e679 |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bfd70b4a7c8190852503f31142562e |
completed | March 22, 2026, 11:48 a.m. |
Created at: March 8, 2026, 3:20 p.m.