Triple

T4577345
Position Surface form Disambiguated ID Type / Status
Subject Mahabalipuram E123169 entity
Predicate formerName P65 FINISHED
Object Mamallapuram E123169 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: Mamallapuram | Statement: [Mahabalipuram, formerName, Mamallapuram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mamallapuram
Context triple: [Mahabalipuram, formerName, Mamallapuram]
  • A. Mahabalipuram chosen
    Mahabalipuram is an ancient coastal town in Tamil Nadu, India, renowned for its UNESCO-listed rock-cut temples and stone-carved monuments from the Pallava dynasty.
  • B. Mandapam
    Mandapam is a coastal town in Tamil Nadu, India, known as a gateway to Rameswaram and for its fishing and marine activities.
  • C. Keelakarai
    Keelakarai is a coastal town in Tamil Nadu, India, known for its historic mosques, maritime trading heritage, and culturally rich Muslim community.
  • D. Palamoor
    Palamoor is the historical name of Mahbubnagar, a town and district headquarters in the Indian state of Telangana.
  • E. Kumbakonam
    Kumbakonam is a historic temple town in the Indian state of Tamil Nadu, renowned for its rich cultural heritage, ancient temples, and traditional learning.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58e153908190ac8f578e03aecdfc completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69be033d90c48190b69a91db06b86998 completed March 21, 2026, 2:32 a.m.
Created at: March 20, 2026, 1:10 p.m.