Triple

T30165389
Position Surface form Disambiguated ID Type / Status
Subject Urban Institute E766777 entity
Predicate hasResearchCenter P40 FINISHED
Object Housing Finance Policy Center
The Housing Finance Policy Center is a research center at the Urban Institute that analyzes and informs housing finance systems and policies to improve access to affordable and sustainable homeownership and rental housing.
E1901121 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: Housing Finance Policy Center | Statement: [Urban Institute, hasResearchCenter, Housing Finance Policy Center]
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: Housing Finance Policy Center
Triple: [Urban Institute, hasResearchCenter, Housing Finance Policy Center]
Generated description
The Housing Finance Policy Center is a research center at the Urban Institute that analyzes and informs housing finance systems and policies to improve access to affordable and sustainable homeownership and rental housing.

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_69f2247a968881909d79c18f2bfcb275 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67f073dbc8190a42f4c71ad2f7de3 completed May 2, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a274ccad6b4819091e1cd2278774338 completed June 8, 2026, 11:14 p.m.
NEDg Description generation batch_6a274d8eb3ec8190bf214160cbe464cd completed June 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_6a274e7037d48190869592da30780fc0 completed June 8, 2026, 11:21 p.m.
Created at: April 29, 2026, 7:23 p.m.