Triple
T12142383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syosset, New York |
E289218
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object | Syosset High School |
E578954
|
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: Syosset High School | Statement: [Syosset, New York, hasHighSchool, Syosset High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syosset High School Context triple: [Syosset, New York, hasHighSchool, Syosset High School]
-
A.
Syosset High School
chosen
Syosset High School is a public high school in Syosset, New York, known for its strong academics and notable alumni in entertainment, business, and public life.
-
B.
Oiso High School
Oiso High School is a secondary education institution located in the coastal town of Ōiso in Kanagawa Prefecture, Japan.
-
C.
Kaiapoi High School
Kaiapoi High School is a co-educational secondary school serving the town of Kaiapoi and surrounding areas in the Canterbury region of New Zealand.
-
D.
Bow High School
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
-
E.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915a9838081909622cc14df2a2582 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a81f6708190a6a215421f8ce8dd |
completed | May 2, 2026, 4:46 p.m. |
Created at: April 8, 2026, 9:49 p.m.