Triple

T17230288
Position Surface form Disambiguated ID Type / Status
Subject TAD E418222 entity
Predicate standsFor P590 FINISHED
Object Tax Allocation District E84449 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: Tax Allocation District | Statement: [TAD, standsFor, Tax Allocation District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tax Allocation District
Context triple: [TAD, standsFor, Tax Allocation District]
  • A. Tax Allocation District (TAD) chosen
    A Tax Allocation District (TAD) is a designated area where future increases in property tax revenues are earmarked to finance redevelopment and infrastructure projects within that district.
  • B. Union District
    Union District was a historical judicial and administrative district in South Carolina that existed in the late 18th and early 19th centuries before the state reorganized its counties.
  • C. Reg District
    Reg District is an administrative district located in Kandahar Province in southern Afghanistan.
  • D. Government District
    Government District is a central neighborhood in Dallas, Texas, known for its concentration of municipal, county, state, and federal government buildings and offices.
  • E. Laurel District
    The Laurel District is a vibrant, historically diverse commercial and residential neighborhood in Oakland, California, known for its independent shops, restaurants, and community events.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42df62ec48190b2ed633a5bcc0255 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a016760873c8190bab70ad4ca0c6d8e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.