Triple

T6513835
Position Surface form Disambiguated ID Type / Status
Subject Pierrefonds Airport E148202 entity
Predicate IATAcode P418 FINISHED
Object ZSE
ZSE is the IATA airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
E601389 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: ZSE | Statement: [Pierrefonds Airport, IATAcode, ZSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZSE
Context triple: [Pierrefonds Airport, IATAcode, ZSE]
  • A. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • B. Tadawul
    Tadawul is the Saudi Stock Exchange, the Kingdom of Saudi Arabia’s sole securities market and one of the largest stock exchanges in the Middle East.
  • C. KSE
    KSE is a major American sports and entertainment holding company that owns and operates multiple professional sports teams, venues, and media properties.
  • D. ZEL
    ZEL is the National Rail station code assigned to Elephant & Castle station in London.
  • E. Warsaw Stock Exchange
    The Warsaw Stock Exchange is Poland’s principal securities exchange and one of the largest and most important financial markets in Central and Eastern Europe.
  • 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: ZSE
Triple: [Pierrefonds Airport, IATAcode, ZSE]
Generated description
ZSE is the IATA airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZSE
Target entity description: ZSE is the IATA airport code for Pierrefonds Airport on Réunion Island in the Indian Ocean.
  • A. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • B. Tadawul
    Tadawul is the Saudi Stock Exchange, the Kingdom of Saudi Arabia’s sole securities market and one of the largest stock exchanges in the Middle East.
  • C. KSE
    KSE is a major American sports and entertainment holding company that owns and operates multiple professional sports teams, venues, and media properties.
  • D. ZEL
    ZEL is the National Rail station code assigned to Elephant & Castle station in London.
  • E. Warsaw Stock Exchange
    The Warsaw Stock Exchange is Poland’s principal securities exchange and one of the largest and most important financial markets in Central and Eastern Europe.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3db330819092503af4fb0649ea completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb6f934481908a95d7424aa23414 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cd88f66c81909b364a816aeee8bf completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce3a53cc8190a40d696a22ec65f4 completed March 27, 2026, 6:36 p.m.
Created at: March 27, 2026, 1:44 p.m.