Triple

T19885444
Position Surface form Disambiguated ID Type / Status
Subject Pukekohe E477885 entity
Predicate hasNeighbour P5707 FINISHED
Object Bombay E449440 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: Bombay | Statement: [Pukekohe, hasNeighbour, Bombay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombay
Context triple: [Pukekohe, hasNeighbour, Bombay]
  • A. Mumbai
    Mumbai is a densely populated coastal metropolis in western India that serves as the country’s financial hub and the center of its film industry, Bollywood.
  • B. Mambai
    Mambai is an Austronesian language spoken primarily in East Timor, where it is one of the country’s major indigenous languages.
  • C. Calcutta
    Calcutta, now known as Kolkata, is a major cultural and commercial metropolis in eastern India that served as the capital of British India until the early 20th century.
  • D. Poona chosen
    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.
  • E. 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.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e659093df081909d3be9c3caeb79ba completed April 20, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ea3c3688819097ec23445a32e875 completed May 16, 2026, 3:53 a.m.
Created at: April 10, 2026, 1:52 p.m.