Triple

T18453811
Position Surface form Disambiguated ID Type / Status
Subject Kamuthi E450851 entity
Predicate hasNearbyCity P350 FINISHED
Object Ramanathapuram 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: Ramanathapuram | Statement: [Kamuthi, hasNearbyCity, Ramanathapuram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramanathapuram
Context triple: [Kamuthi, hasNearbyCity, Ramanathapuram]
  • A. Vijayapuram
    Vijayapuram is a locality in the Tirupati district of Andhra Pradesh, India, known primarily as a small administrative and residential area within the region.
  • B. Thoothukudi
    Thoothukudi is a major port city in southern India known for its shipping, industrial activities, and salt production.
  • C. Royapuram
    Royapuram is a historic coastal neighborhood in northern Chennai, India, known for its old railway station and proximity to the city’s port and fishing communities.
  • D. Dharapuram
    Dharapuram is a historic town and regional commercial center in the Tiruppur district of Tamil Nadu, India, situated within the Kongu Nadu region.
  • E. Ramanathapuram district chosen
    Ramanathapuram district is a coastal district in the state of Tamil Nadu, India, known for its historic towns, fishing communities, and proximity to the pilgrimage island of Rameswaram.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264a49ec8190aa43381d93a55e91 completed April 19, 2026, 7 p.m.
Created at: April 10, 2026, 11:31 a.m.