Triple

T17533742
Position Surface form Disambiguated ID Type / Status
Subject Queen Mary 2 E427001 entity
Predicate callSign P1565 FINISHED
Object ZCEF2
ZCEF2 is the international radio call sign assigned to the ocean liner Queen Mary 2.
 E1273806 NE FINISHED

How this triple was built (4 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.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZCEF2
Triple: [Queen Mary 2, callSign, ZCEF2]
Generated description
ZCEF2 is the international radio call sign assigned to the ocean liner Queen Mary 2.
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 (5 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.
NED1 Entity disambiguation (via context triple) batch_6a01c94e4e208190a241ea586d3f3a38 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01ca84f3388190aa2eda694f91a17b completed May 11, 2026, 12:24 p.m.
NED2 Entity disambiguation (via description) batch_6a01cb0b3cec8190afc6cf6dd1e4d896 completed May 11, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:49 a.m.