Triple

T33942332
Position Surface form Disambiguated ID Type / Status
Subject Main Quadrangles E870196 entity
Predicate hasBuilding P105 FINISHED
Object Kent Chemical Laboratory
Kent Chemical Laboratory is a historic academic science building located on the Main Quadrangles of the University of Chicago, primarily housing chemistry research and teaching facilities.
E2074796 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: Kent Chemical Laboratory | Statement: [Main Quadrangles, hasBuilding, Kent Chemical Laboratory]
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: Kent Chemical Laboratory
Triple: [Main Quadrangles, hasBuilding, Kent Chemical Laboratory]
Generated description
Kent Chemical Laboratory is a historic academic science building located on the Main Quadrangles of the University of Chicago, primarily housing chemistry research and teaching facilities.

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_69f3499b0dd48190b07b4b60babcee02 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70237574c8190b06ebb9a446fece4 completed May 3, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689d7790c819085b52b6e52b40c59 completed June 20, 2026, 12:38 p.m.
NEDg Description generation batch_6a368a5f070c81909a5d0e8f4ac5ad2e completed June 20, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_6a368b17fd848190be803db49a0ef089 completed June 20, 2026, 12:44 p.m.
Created at: May 1, 2026, 1:49 a.m.