Triple
T7402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clay Pit Pond |
E147
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Belmont High School |
E736
|
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: Belmont High School | Statement: [Clay Pit Pond, near, Belmont High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belmont High School Context triple: [Clay Pit Pond, near, Belmont High School]
-
A.
Belmont High School
chosen
Belmont High School is a public secondary school serving students in the suburban community of Belmont, Massachusetts.
-
B.
Belmont Public Schools
Belmont Public Schools is the public school district serving the town of Belmont, Massachusetts, providing K–12 education through its network of local schools.
-
C.
Independence High School
Independence High School is the secondary school in Independence, Missouri, that future U.S. President Harry S. Truman attended as a teenager.
-
D.
Ardsley High School
Ardsley High School is a public high school in Ardsley, New York, known in part for having been attended by Facebook co-founder Mark Zuckerberg.
-
E.
Butler School
Butler School is a public elementary school serving young students in the town of Belmont, Massachusetts.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a23ff1903c8190a7d1051b4795eecd |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a266df7d148190beac1290a858f14c |
completed | Feb. 28, 2026, 3:54 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.