Triple

T23108228
Position Surface form Disambiguated ID Type / Status
Subject Narmadapuram Division E576235 entity
Predicate namedAfter P63 FINISHED
Object Narmadapuram 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: Narmadapuram | Statement: [Narmadapuram Division, namedAfter, Narmadapuram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narmadapuram
Context triple: [Narmadapuram Division, namedAfter, Narmadapuram]
  • A. Narmadapuram chosen
    Narmadapuram is a city in the central Indian state of Madhya Pradesh, situated on the banks of the Narmada River and serving as an important regional administrative and cultural center.
  • B. Rasipuram
    Rasipuram is the first name of celebrated Indian novelist R. K. Narayan, a pioneer of modern Indian literature in English.
  • C. Naupada
    Naupada is a prominent residential and commercial locality within the city of Thane in Maharashtra, India.
  • D. Avaniapuram
    Avaniapuram is a locality in Madurai, Tamil Nadu, known for hosting traditional cultural events and rural sports.
  • E. Narendranagar
    Narendranagar is a small hill town in Uttarakhand, India, known for its scenic Himalayan views and status as a former capital of the Tehri Garhwal princely state.
  • 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_69e245f4af548190898d434a64a1e774 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e0c7b9c8190b1160485eae87c9b completed April 29, 2026, 4:50 a.m.
Created at: April 17, 2026, 3:58 p.m.