Triple

T14227351
Position Surface form Disambiguated ID Type / Status
Subject ZESCO E352655 entity
Predicate countryISOCode P42506 FINISHED
Object ZM E45914 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: ZM | Statement: [ZESCO, countryISOCode, ZM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZM
Context triple: [ZESCO, countryISOCode, ZM]
  • A. ZM chosen
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • B. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • C. ZMH
    ZMH is the former stock ticker symbol for Zimmer Holdings, a major medical device company specializing in orthopedic products such as joint replacement implants.
  • D. ZUM
    ZUM is the IATA airport code for Churchill Falls Airport in Newfoundland and Labrador, Canada.
  • E. ZMCK
    ZMCK is the ICAO airport code assigned to Chinggis Khaan International Airport in Mongolia.
  • 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_69d8278adc7c8190a9218d69bce3c4e6 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de622a48508190bbfedb762bd1674d completed April 14, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd281801488190bcb17d27ee18cde6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:07 a.m.