Triple

T19579042
Position Surface form Disambiguated ID Type / Status
Subject JTA E489936 entity
Predicate hasAbbreviation P43 FINISHED
Object JTA 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: JTA | Statement: [JTA, hasAbbreviation, JTA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JTA
Context triple: [JTA, hasAbbreviation, JTA]
  • A. JTA
    JTA is a regional public transit agency that operates bus and related transportation services for the Jackson, Michigan area.
  • B. JTA
    JTA is the public transit brand of the Jacksonville Transportation Authority, providing bus, rapid transit, and related transportation services in Jacksonville, Florida.
  • C. JTA
    JTA is the ICAO airline designator for Japan Transocean Air, a regional carrier based in Okinawa, Japan.
  • D. JTA
    JTA (Java Transaction API) is a Java specification that provides a standard interface for managing distributed transactions across multiple resources in enterprise applications.
  • E. JNF
    JNF is a Zionist nonprofit organization best known for purchasing and developing land and infrastructure in Israel and the Palestinian territories, including large-scale tree planting and environmental projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6402693d88190a828c0e136895783 completed April 20, 2026, 3:03 p.m.
Created at: April 10, 2026, 1:42 p.m.