Triple

T16681688
Position Surface form Disambiguated ID Type / Status
Subject Indian Army Training Command E405354 entity
Predicate alsoKnownAs P39 FINISHED
Object ARTRAC E570634 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: ARTRAC | Statement: [Indian Army Training Command, alsoKnownAs, ARTRAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARTRAC
Context triple: [Indian Army Training Command, alsoKnownAs, 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 (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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d7018448190b3cb23191322044e completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009194ad188190aae3371c97abc045 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:19 a.m.