Triple
T38460509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frankfort High School |
E912437
|
entity |
| Predicate | districtScope |
P38083
|
FINISHED |
| Object | city-based school district |
—
|
LITERAL 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: city-based school district | Statement: [Frankfort High School, districtScope, city-based school district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtScope Context triple: [Frankfort High School, districtScope, city-based school district]
-
A.
districtContext
Indicates that something occurs within, is associated with, or is interpreted in the context of a particular district or administrative area.
-
B.
district
Indicates that one entity is an administrative or electoral district that geographically contains or governs another entity.
-
C.
municipalScope
chosen
Indicates that something falls within the authority, jurisdiction, or functional domain of a municipality or local city government.
-
D.
districtAdministration
Indicates that an entity is responsible for managing, governing, or overseeing the administrative affairs of a specific district or local jurisdiction.
-
E.
districtRegion
Indicates that a district is located within or belongs administratively to a specific region.
- F. None of above.
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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.