Triple
T9607761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saxe Middle School |
E232015
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Saxe Middle School |
E232015
|
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: Saxe Middle School | Statement: [Saxe Middle School, name, Saxe Middle School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saxe Middle School Context triple: [Saxe Middle School, name, Saxe Middle School]
-
A.
Saxe Middle School
chosen
Saxe Middle School is a public middle school serving students in the New Canaan, Connecticut school district.
-
B.
Stone Middle School
Stone Middle School is a public middle school serving students in the Centreville area.
-
C.
South Middle School
South Middle School is a public middle school in Braintree, Massachusetts, serving students in the Braintree Public Schools district.
-
D.
Oak Middle School
Oak Middle School is a public middle school serving students in the town of Shrewsbury, Massachusetts.
-
E.
Helena Middle School
Helena Middle School is a public middle school serving students in the city of Helena, Alabama.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a62372881908bf21be91e7285fb |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d17942504481908e7147a0f56bdf96 |
completed | April 4, 2026, 8:49 p.m. |
Created at: March 30, 2026, 8:08 p.m.