Triple

T23080365
Position Surface form Disambiguated ID Type / Status
Subject Karamay Airport E575451 entity
Predicate hasIATACode P2569 FINISHED
Object KRY
KRY is the IATA airport code for Karamay Airport in Xinjiang, China.
E1570240 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: KRY | Statement: [Karamay Airport, hasIATACode, KRY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KRY
Context triple: [Karamay Airport, hasIATACode, KRY]
  • A. KRS
    KRS is a major masonry dam in Karnataka, India, built across the Kaveri River and known for its role in irrigation, water supply, and the Brindavan Gardens.
  • B. KRS
    KRS is the Polish National Council of the Judiciary, a constitutional body responsible for safeguarding judicial independence and overseeing the appointment of judges in Poland.
  • C. KRS
    KRS is the IATA airport code for Kristiansand Airport, Kjevik, a regional airport in southern Norway.
  • D. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • E. Kru
    Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
  • 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: KRY
Triple: [Karamay Airport, hasIATACode, KRY]
Generated description
KRY is the IATA airport code for Karamay Airport in Xinjiang, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KRY
Target entity description: KRY is the IATA airport code for Karamay Airport in Xinjiang, China.
  • A. KRS
    KRS is a major masonry dam in Karnataka, India, built across the Kaveri River and known for its role in irrigation, water supply, and the Brindavan Gardens.
  • B. KRS
    KRS is the Polish National Council of the Judiciary, a constitutional body responsible for safeguarding judicial independence and overseeing the appointment of judges in Poland.
  • C. KRS
    KRS is the IATA airport code for Kristiansand Airport, Kjevik, a regional airport in southern Norway.
  • D. RKR
    RKR is the vehicle registration code assigned to vehicles registered in the Rymanów area of Poland.
  • E. Kru
    Kru is an actor known for appearing in the film "Chang: A Drama of the Wilderness."
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c66a80481909ebc2ba69f1e4bd9 completed April 29, 2026, 4:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c15b0a6ac819085f13e7bdc82840f completed May 19, 2026, 7:48 a.m.
NEDg Description generation batch_6a0c175e246081909d6451f245ccfe66 completed May 19, 2026, 7:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0c1820a4d88190aed59f50b4e7ec47 completed May 19, 2026, 7:58 a.m.
Created at: April 17, 2026, 3:56 p.m.