Triple

T23945391
Position Surface form Disambiguated ID Type / Status
Subject Pike Township, Marion County, Indiana E602897 entity
Predicate hasHighSchool P113 FINISHED
Object Pike High School
Pike High School is a public secondary school serving students in the Metropolitan School District of Pike Township in northwest Indianapolis, Indiana.
E1616012 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: Pike High School | Statement: [Pike Township, Marion County, Indiana, hasHighSchool, Pike High School]
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: Pike High School
Triple: [Pike Township, Marion County, Indiana, hasHighSchool, Pike High School]
Generated description
Pike High School is a public secondary school serving students in the Metropolitan School District of Pike Township in northwest Indianapolis, Indiana.

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_69e2953e4924819093f1c24c03476b42 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d02dd0cc8190b32eb86bdfe0bf9a completed April 29, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f963c32508190bb3682ef0a4f2241 completed May 21, 2026, 11:33 p.m.
NEDg Description generation batch_6a0f96e1bccc8190a270f490d167483d completed May 21, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_6a0f9817d9248190aa2f7cc8fc2916bf completed May 21, 2026, 11:41 p.m.
Created at: April 17, 2026, 9:11 p.m.