Triple

T16528021
Position Surface form Disambiguated ID Type / Status
Subject Zarina Wahab E401489 entity
Predicate placeOfBirth P1 FINISHED
Object Visakhapatnam E34854 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: Visakhapatnam | Statement: [Zarina Wahab, placeOfBirth, Visakhapatnam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Visakhapatnam
Context triple: [Zarina Wahab, placeOfBirth, Visakhapatnam]
  • A. Kakinada
    Kakinada is a coastal city in the Indian state of Andhra Pradesh, known for its port, seafood industry, and role as a regional commercial hub.
  • B. Vizagapatam chosen
    Vizagapatam, now commonly known as Visakhapatnam, is a major coastal city and port on the Bay of Bengal in present-day Andhra Pradesh, India.
  • C. Nellore
    Nellore is a prominent coastal city in southeastern India known for its agriculture, aquaculture, and role as an administrative and commercial center in Andhra Pradesh.
  • D. Mehdipatnam
    Mehdipatnam is a major residential and commercial neighborhood in Hyderabad, India, known for its busy markets, transport connectivity, and proximity to key city landmarks.
  • E. Machilipatnam
    Machilipatnam is a coastal city in the Indian state of Andhra Pradesh, historically known as a significant port and trading center on the Bay of Bengal.
  • 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_69d883838abc8190bc79cb2d41733ce2 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32ed57be481908625d4c5aab0940c completed April 18, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00608efd0c81908e64419bd74eb285 completed May 10, 2026, 10:40 a.m.
Created at: April 10, 2026, 5:14 a.m.