Triple

T16221984
Position Surface form Disambiguated ID Type / Status
Subject Poona Division E393750 entity
Predicate namedAfter P63 FINISHED
Object Poona E14838 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: Poona | Statement: [Poona Division, namedAfter, Poona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Poona
Context triple: [Poona Division, namedAfter, Poona]
  • A. Poona
    Poona is a small coastal locality in Queensland, Australia, situated within the Fraser Coast Region and known for its quiet seaside setting and access to Great Sandy Strait.
  • B. Pune chosen
    Pune is a major cultural, educational, and IT hub in the western Indian state of Maharashtra, known for its universities, historical significance, and rapidly growing urban economy.
  • C. Belgaum
    Belgaum is a major city in the Indian state of Karnataka, known as an important commercial, industrial, and military hub near the Maharashtra–Goa border.
  • D. Nagpur
    Nagpur is a major city in the Indian state of Maharashtra, known as a key political and commercial center and often referred to as the "Orange City" for its famous orange production.
  • E. Nashik
    Nashik is a historic city in the Indian state of Maharashtra, known for its religious significance in Hinduism and as a major center of wine production.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e227fcf058819099d5ff965cc2c267 completed April 17, 2026, 12:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025f4f8708190ba1a08860e962c66 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:03 a.m.