Triple

T17533742
Position Surface form Disambiguated ID Type / Status
Subject Queen Mary 2 E427001 entity
Predicate callSign P1565 FINISHED
Object ZCEF2 NE NERFINISHED

How this triple was built (3 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: ZCEF2 | Statement: [Queen Mary 2, callSign, ZCEF2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZCEF2
Context triple: [Queen Mary 2, callSign, ZCEF2]
  • A. ZCEF9
    ZCEF9 is a callsign designation historically associated with Queen Victoria, likely used as an identifying code in communication or transportation records.
  • B. ZFA
    ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
  • C. ZSFZ
    ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
  • D. CIF2
    CIF2 is an updated version of the Crystallographic Information Framework standard designed to more robustly and flexibly represent crystallographic data.
  • E. ZKF
    ZKF is the station code used to identify King’s Cross St Pancras Underground station on the London Underground network.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZCEF2
Target entity description: ZCEF2 is the international radio call sign assigned to the ocean liner Queen Mary 2.
  • A. ZCEF9
    ZCEF9 is a callsign designation historically associated with Queen Victoria, likely used as an identifying code in communication or transportation records.
  • B. ZFA
    ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
  • C. ZSFZ
    ZSFZ is the ICAO airport code for Fuzhou Changle International Airport, the main international airport serving Fuzhou in Fujian Province, China.
  • D. CIF2
    CIF2 is an updated version of the Crystallographic Information Framework standard designed to more robustly and flexibly represent crystallographic data.
  • E. ZKF
    ZKF is the station code used to identify King’s Cross St Pancras Underground station on the London Underground network.
  • F. None of above. chosen

Provenance (2 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536a0f588190ade91d32308897a0 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.