Triple

T13786428
Position Surface form Disambiguated ID Type / Status
Subject Neighborhood Stabilization Program E331268 entity
Predicate hasPart P35 FINISHED
Object NSP1 E331268 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: NSP1 | Statement: [Neighborhood Stabilization Program, hasPart, NSP1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSP1
Context triple: [Neighborhood Stabilization Program, hasPart, NSP1]
  • A. NSP chosen
    NSP is a U.S. federal Neighborhood Stabilization Program created to address the impacts of the housing crisis by redeveloping and revitalizing foreclosed and abandoned properties in hard-hit communities.
  • B. nSP
    nSP is the commonly used abbreviation for the United Kingdom’s New State Pension system introduced for people reaching State Pension age on or after 6 April 2016.
  • C. NSZ
    NSZ was a Polish nationalist underground military organization that operated during World War II, primarily resisting both Nazi German and Soviet occupation.
  • D. NSZ
    NSZ is the vehicle registration code assigned to the Polish locality of Rozogi.
  • E. FNSP
    FNSP is the French acronym for the Fondation nationale des sciences politiques, a key institution that oversees and supports the prestigious Sciences Po network of political science and social science schools in France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0248db988190aa43c3723af25f90 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b07d872c81908f912263d8f7c80d completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.