Triple

T14462775
Position Surface form Disambiguated ID Type / Status
Subject New York WMAs E358626 entity
Predicate shortName P43 FINISHED
Object NY WMAs E358626 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: NY WMAs | Statement: [New York WMAs, shortName, NY WMAs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NY WMAs
Context triple: [New York WMAs, shortName, NY WMAs]
  • A. New York WMAs chosen
    New York WMAs are publicly managed wildlife conservation and recreation areas across New York State that provide habitat protection and opportunities for activities like hunting, fishing, and wildlife viewing.
  • B. WAMM
    WAMM is the abbreviation for the World Association of the Major Metropolises, an international organization that brings together and represents the interests of the world’s largest cities.
  • C. WAMM
    WAMM is the ICAO airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
  • D. WN6
    WN6 is a postcode district in the Wigan area of Greater Manchester, England.
  • E. WSM
    WSM is the three-letter ISO 3166-1 alpha-3 country code assigned to Samoa.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91ad67bc81908ecdaa7262f6dc55 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64973dc08190ab893c95ea3f066c completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.