Triple

T2490688
Position Surface form Disambiguated ID Type / Status
Subject Puducherry E52032 entity
Predicate hasExclave P10271 FINISHED
Object Karaikal E129994 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: Karaikal | Statement: [Puducherry, hasExclave, Karaikal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karaikal
Context triple: [Puducherry, hasExclave, Karaikal]
  • 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. Khar
    Khar is a suburban neighborhood in Mumbai, India, known for its residential areas, shopping streets, and proximity to the Arabian Sea.
  • C. Khiva
    Khiva is an ancient oasis city in western Uzbekistan renowned for its well-preserved walled old town, Itchan Kala, a UNESCO World Heritage Site.
  • D. Kasarani
    Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
  • E. Kharimkotan
    Kharimkotan is an uninhabited volcanic island in the central Kuril Islands chain of Russia, known for its large stratovolcano and history of explosive eruptions.
  • 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd18fe32081909580c6272a6013c5 completed March 7, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b8429388190a2d1b1610511ea75 completed March 9, 2026, 8:20 p.m.
Created at: March 6, 2026, 9:45 p.m.