Triple

T20631921
Position Surface form Disambiguated ID Type / Status
Subject Padma Desai E506975 entity
Predicate placeOfBirth P1 FINISHED
Object Surat 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: Surat | Statement: [Padma Desai, placeOfBirth, Surat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surat
Context triple: [Padma Desai, placeOfBirth, Surat]
  • A. Surat
    Surat is a small rural town in Queensland, Australia, situated on the Balonne River and known historically as a service centre for the surrounding agricultural region.
  • B. Surat chosen
    Surat is a historic port city in the Indian state of Gujarat that became an important center of trade and commerce during the Mughal and early colonial periods.
  • C. Ahmedabad
    Ahmedabad is a major city in the western Indian state of Gujarat, known for its rich history, textile industry, and role as an important economic and cultural center.
  • D. Aurangabad
    Aurangabad is a historic city in the Indian state of Maharashtra, known for its rich cultural heritage and proximity to UNESCO World Heritage Sites like the Ajanta and Ellora Caves.
  • E. Maninagar
    Maninagar is a prominent suburban neighborhood and railway hub in Ahmedabad, Gujarat, serving as a key commuter and transit point in the city.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad0bdcd88190a59d68e03370b271 completed April 20, 2026, 10:47 p.m.
Created at: April 16, 2026, 11:42 a.m.