Triple

T18755660
Position Surface form Disambiguated ID Type / Status
Subject Central Maharashtra E458642 entity
Predicate hasMajorCity P316 FINISHED
Object Parbhani E559819 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: Parbhani | Statement: [Central Maharashtra, hasMajorCity, Parbhani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parbhani
Context triple: [Central Maharashtra, hasMajorCity, Parbhani]
  • A. Parbhani chosen
    Parbhani is a significant city in the Marathwada region of Maharashtra, India, known as an important commercial and educational center.
  • B. Baramati
    Baramati is a town in the Pune district of Maharashtra, India, known as an agricultural and industrial hub with historical and political significance.
  • C. Jwalapur
    Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
  • D. Banavasi
    Banavasi is an ancient town in Karnataka, India, historically significant as an early capital of the Kadamba dynasty and a major center of early Kannada culture and inscriptions.
  • E. Igatpuri
    Igatpuri is a hill town and railway junction in Maharashtra, India, known for its scenic Western Ghats setting and as a key stop on the route between Mumbai and central/eastern India.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f20b808190833e29830bfed937 completed April 20, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a053d3967408190bd9fc7493179a198 completed May 14, 2026, 3:10 a.m.
Created at: April 10, 2026, 11:51 a.m.