Triple
T23172590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bow, New Hampshire |
E578897
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object | Bow High School |
E149666
|
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: Bow High School | Statement: [Bow, New Hampshire, hasHighSchool, Bow High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bow High School Context triple: [Bow, New Hampshire, hasHighSchool, Bow High School]
-
A.
Bow High School
chosen
Bow High School is a public secondary school serving students in the town of Bow, New Hampshire.
-
B.
Mart High School
Mart High School is a public secondary school serving students in the small Central Texas community of Mart and the surrounding area.
-
C.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
-
D.
Wall High School
Wall High School is a public secondary school serving students in grades 9–12 in Wall Township, Monmouth County, New Jersey.
-
E.
Grant High School
Grant High School is a secondary school that serves students from the Grant Park area.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f30ce148190a6de928c8213399e |
completed | April 29, 2026, 4:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67765e508190814b8c328d2d42aa |
completed | May 19, 2026, 1:36 p.m. |
Created at: April 17, 2026, 4:04 p.m.