Triple
T10188582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Issaquah School District |
E237974
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object | Issaquah High School |
E238264
|
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: Issaquah High School | Statement: [Issaquah School District, hasHighSchool, Issaquah High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Issaquah High School Context triple: [Issaquah School District, hasHighSchool, Issaquah High School]
-
A.
Issaquah High School
chosen
Issaquah High School is a public secondary school serving students in the city of Issaquah in Washington State.
-
B.
Issaquah School District
Issaquah School District is a public school district serving students in Issaquah and surrounding communities in Washington State.
-
C.
Hall High School
Hall High School is a public secondary school serving students in the West Hartford, Connecticut area.
-
D.
Anna High School
Anna High School is a public secondary school serving students in the city of Anna in northern Texas.
-
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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7c3278819093312665b54d888c |
completed | April 2, 2026, 4:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317b734a4819085645caea8ba0481 |
completed | April 6, 2026, 2:17 a.m. |
Created at: March 30, 2026, 9:12 p.m.