Triple

T20608076
Position Surface form Disambiguated ID Type / Status
Subject Town of Blooming Grove, Texas E506364 entity
Predicate stateAbbreviation P2461 FINISHED
Object TX NE NERFINISHED

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: TX | Statement: [Town of Blooming Grove, Texas, stateAbbreviation, TX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TX
Context triple: [Town of Blooming Grove, Texas, stateAbbreviation, TX]
  • A. TX
    TX is the IATA airline designator assigned to Air Caraïbes, a French Caribbean airline.
  • B. TX
    TX is the commonly used abbreviation for the Tsukuba Express, a Japanese railway line connecting Akihabara in Tokyo with Tsukuba in Ibaraki Prefecture.
  • C. Texas chosen
    Texas is the second-largest U.S. state by both area and population, known for its diverse landscapes, major cities like Houston and Dallas, and significant cultural and economic influence.
  • D. Texas
    Texas is a Scottish pop rock band known for their melodic, radio-friendly hits and enduring success since the late 1980s.
  • E. Como, Texas
    Como, Texas is a small rural town located in Hopkins County in northeastern Texas, known for its close-knit community and agricultural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad4b0bc819097b785f921561f36 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.