Triple

T22333498
Position Surface form Disambiguated ID Type / Status
Subject Karaikal Municipal Council E552082 entity
Predicate governs P760 FINISHED
Object Karaikal town 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: Karaikal town | Statement: [Karaikal Municipal Council, governs, Karaikal town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaikal town
Context triple: [Karaikal Municipal Council, governs, Karaikal town]
  • A. Karaikal chosen
    Karaikal is a coastal town and district of the Union Territory of Puducherry in southeastern India, known for its strategic port and location along the Bay of Bengal.
  • B. Akhthala town
    Akhthala town is a historic settlement in northern Armenia known for its medieval monastery and scenic location amid the Debed Canyon.
  • C. Khaspur
    Khaspur is a historic town in present-day Assam, India, known for its archaeological remains and former status as the political and cultural center of the Dimasa Kingdom.
  • D. Yaseenabad
    Yaseenabad is a residential neighborhood located within the Federal B Area of Karachi, Pakistan.
  • E. Karashahr
    Karashahr is an ancient oasis town in Xinjiang, China, historically significant as a Silk Road hub and a key center of the Indo-European–speaking Tocharian culture.
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577cdcb08190a760e195c1051adb completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.