Triple

T19255749
Position Surface form Disambiguated ID Type / Status
Subject National Highway 44 (India) E481511 entity
Predicate connectsCity P4245 FINISHED
Object Namakkal 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: Namakkal | Statement: [National Highway 44 (India), connectsCity, Namakkal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Namakkal
Context triple: [National Highway 44 (India), connectsCity, Namakkal]
  • A. Namakkal chosen
    Namakkal is a town in the Indian state of Tamil Nadu known for its historic rock fort, temples, and role as a regional commercial and transport hub.
  • B. Nannilam
    Nannilam is a small town in the Tiruvarur district of Tamil Nadu, India, known for its traditional Tamil culture and rural setting.
  • C. Mangalem
    Mangalem is the historic hillside quarter of Berat, Albania, famed for its Ottoman-era white houses stacked along the slope and its designation as part of a UNESCO World Heritage site.
  • D. Vandiyur
    Vandiyur is a locality in Madurai, Tamil Nadu, known for its historic temple tank and religious significance.
  • E. Keelakarai
    Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
  • 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_69d8e8cd9d1081908a181d02b88b59b8 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb3572c08190a55f1c71cdb18b42 completed April 20, 2026, 10:08 a.m.
Created at: April 10, 2026, 1:28 p.m.