Triple

T1517179
Position Surface form Disambiguated ID Type / Status
Subject Katowice E32146 entity
Predicate memberOf P10 FINISHED
Object Metropolis GZM E172946 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: Metropolis GZM | Statement: [Katowice, memberOf, Metropolis GZM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolis GZM
Context triple: [Katowice, memberOf, Metropolis GZM]
  • A. Metropolis GZM chosen
    Metropolis GZM is a metropolitan union in southern Poland that coordinates transport, development, and services across the urban area centered on Katowice in the Silesian region.
  • B. Metropolis II
    Metropolis II is a large-scale kinetic sculpture by artist Chris Burden that features hundreds of miniature cars racing through an intricate, futuristic cityscape.
  • C. New Metropolis
    New Metropolis was the original name of Amsterdam’s futuristic, hands-on science and technology center now known as the NEMO Science Museum.
  • D. Maximum City
    Maximum City is a popular nickname for Mumbai that reflects its vast scale, intense energy, and extreme contrasts in wealth, culture, and daily life.
  • E. Radiant City
    Radiant City is Le Corbusier’s influential modernist urban planning vision that proposed high-density towers set in open green spaces, strict zoning, and car-oriented infrastructure to create an ordered, efficient city.
  • 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_69a885e8caf88190a5fbb6159ce87786 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907eb7d108190bf26199744d510d7 completed March 5, 2026, 4:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294b16e481908a0b3cf7fd774caa completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.