Triple

T27045121
Position Surface form Disambiguated ID Type / Status
Subject Leyden High School District 212 E684601 entity
Predicate hasSchool P113 FINISHED
Object West Leyden High School
West Leyden High School is a public secondary school in the Chicago suburbs that serves part of Leyden High School District 212.
E1757728 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: West Leyden High School | Statement: [Leyden High School District 212, hasSchool, West Leyden 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: West Leyden High School
Triple: [Leyden High School District 212, hasSchool, West Leyden High School]
Generated description
West Leyden High School is a public secondary school in the Chicago suburbs that serves part of Leyden High School District 212.

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_69ef148193c48190bb1a0cfae6a407c4 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f62270213c8190a6f991b6d4f3fbf6 completed May 2, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1247f5ce48819096dba2919e2b7901 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1248e698008190b4e1d77080b52fef completed May 24, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_6a1249ec94e48190acbcd83ba6d923ea completed May 24, 2026, 12:44 a.m.
Created at: April 27, 2026, 8:09 a.m.