Triple

T23489690
Position Surface form Disambiguated ID Type / Status
Subject ARTRAC E570634 entity
Predicate abbreviation P43 FINISHED
Object ARTRAC 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: ARTRAC | Statement: [ARTRAC, abbreviation, ARTRAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARTRAC
Context triple: [ARTRAC, abbreviation, ARTRAC]
  • A. ARTRAC chosen
    ARTRAC is the Indian Army’s Training Command responsible for overseeing and coordinating the training doctrine, policies, and institutions of the force.
  • B. ARTC
    ARTC is a government-owned corporation that manages and maintains much of Australia's interstate rail network and key freight rail corridors.
  • C. ARTC
    ARTC is the stock ticker symbol for Arabtec Holding PJSC, a major United Arab Emirates–based construction and engineering company known for large-scale building projects in the Middle East.
  • D. ARTM
    ARTM is the regional public transit authority responsible for planning, coordinating, and financing metropolitan transportation services in the Greater Montreal area of Quebec, Canada.
  • E. Allart
    Allart is a Dutch given name historically borne by figures such as the 17th-century painter Allart van Everdingen.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dae8cc8190bf74d1bdb0fc6c60 completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:04 p.m.