Triple

T24084882
Position Surface form Disambiguated ID Type / Status
Subject Altamont, Kansas E596611 entity
Predicate hasSchoolDistrict P226 FINISHED
Object Labette County USD 506
Labette County USD 506 is a public school district based in rural southeastern Kansas that serves Altamont and surrounding communities in Labette County.
E1618435 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: Labette County USD 506 | Statement: [Altamont, Kansas, hasSchoolDistrict, Labette County USD 506]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Labette County USD 506
Triple: [Altamont, Kansas, hasSchoolDistrict, Labette County USD 506]
Generated description
Labette County USD 506 is a public school district based in rural southeastern Kansas that serves Altamont and surrounding communities in Labette County.

Provenance (5 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_69e288c4638c81909bacc28a1e3d436b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dc28a7cc81909c76d9d992ac21dc completed April 29, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f9674441c819084d8ba6128cecc5f completed May 21, 2026, 11:34 p.m.
NEDg Description generation batch_6a0f971a0f108190ba6d5b57da2acbdf completed May 21, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_6a0f981441b08190a0076042748d92ea completed May 21, 2026, 11:41 p.m.
Created at: April 17, 2026, 10:44 p.m.