Triple
T12487271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrews Middle School |
E298467
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Andrews Middle School |
E298467
|
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: Andrews Middle School | Statement: [Andrews Middle School, name, Andrews Middle School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrews Middle School Context triple: [Andrews Middle School, name, Andrews Middle School]
-
A.
Andrews Middle School
chosen
Andrews Middle School is a public middle school in Medford, Massachusetts, serving students in the Medford Public Schools district.
-
B.
Stone Middle School
Stone Middle School is a public middle school serving students in the Centreville area.
-
C.
Andrews Elementary School
Andrews Elementary School is a public primary school serving young students in the town of Andrews, South Carolina.
-
D.
Oak Middle School
Oak Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
-
E.
Galvin Middle School
Galvin Middle School is a public middle school serving students in the town of Wakefield, 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de077bc81908b5ff057a1bf2b4f |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65eaabadc81908f8af6bc10ce3238 |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 8, 2026, 9:56 p.m.