Triple
T5807549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakefield, Massachusetts |
E128781
|
entity |
| Predicate | hasMiddleSchool |
P113
|
FINISHED |
| Object | Galvin Middle School |
E394119
|
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: Galvin Middle School | Statement: [Wakefield, Massachusetts, hasMiddleSchool, Galvin Middle School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Galvin Middle School Context triple: [Wakefield, Massachusetts, hasMiddleSchool, Galvin Middle School]
-
A.
Galvin Middle School
chosen
Galvin Middle School is a public middle school serving students in the town of Wakefield, Massachusetts.
-
B.
Stone Middle School
Stone Middle School is a public middle school serving students in the Centreville area.
-
C.
Mill Middle School
Mill Middle School is a public middle school serving students in the Williamsville Central School District in Williamsville, New York.
-
D.
Frank S. Greene Jr. Middle School
Frank S. Greene Jr. Middle School is a public middle school in Palo Alto, California, named in honor of African American technologist and venture capitalist Frank S. Greene Jr.
-
E.
Oak Middle School
Oak Middle School is a public middle school serving students in the town of Shrewsbury, 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a17f77fc8190b2ad6f6c45d96e43 |
completed | March 23, 2026, 2:12 a.m. |
Created at: March 22, 2026, 3:52 p.m.