Triple

T17936847
Position Surface form Disambiguated ID Type / Status
Subject Mahajanapada period E448489 entity
Predicate includes P1393 FINISHED
Object Matsya 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: Matsya | Statement: [Mahajanapada period, includes, Matsya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matsya
Context triple: [Mahajanapada period, includes, Matsya]
  • A. Matsya chosen
    Matsya was an ancient Indo-Aryan kingdom of northwestern India, often associated with the region around modern Rajasthan and mentioned in early Vedic and epic literature.
  • B. Matsya
    Matsya is the fish incarnation of the Hindu god Vishnu, known for saving the sacred scriptures and the first man from a great deluge.
  • C. Garsaura
    Garsaura was an ancient settlement in central Anatolia, known as the historical predecessor of the modern Turkish city of Aksaray.
  • D. Ikan
    Ikan is an alternative name for the Ukaan language, a lesser-known Niger-Congo language spoken in parts of Nigeria.
  • E. Sturgeon
    Sturgeon is a surname most prominently associated with Nicola Sturgeon, the former First Minister of Scotland and leader of the Scottish National Party.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad924f6c8190a0d676dfa20c9918 completed April 19, 2026, 10:25 a.m.
Created at: April 10, 2026, 10:21 a.m.