Triple

T13025201
Position Surface form Disambiguated ID Type / Status
Subject Şırnak E326285 entity
Predicate hasAirportICAO P419 FINISHED
Object LTCV
LTCV is the ICAO airport code for Şırnak Şerafettin Elçi Airport, a public airport serving the Şırnak province in southeastern Turkey.
E1014994 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: LTCV | Statement: [Şırnak, hasAirportICAO, LTCV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LTCV
Context triple: [Şırnak, hasAirportICAO, LTCV]
  • A. LTC
    LTC is the commonly used abbreviation for the London Transit Commission, the public transportation agency serving the city of London, Ontario, Canada.
  • B. CLVT
    CLVT is the stock ticker symbol for Clarivate Analytics, a global company that provides data, analytics, and insights to support innovation and research across various industries.
  • C. LCV
    LCV (Light Commercial Vehicle) refers to a class of small to medium-sized commercial vans and trucks designed primarily for goods transport and business use.
  • D. LTV
    LTV is the National Rail station code for Lichfield Trent Valley railway station in Staffordshire, England.
  • E. LVA
    LVA is the three-letter ISO 3166-1 alpha-3 country code for Latvia.
  • 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: LTCV
Triple: [Şırnak, hasAirportICAO, LTCV]
Generated description
LTCV is the ICAO airport code for Şırnak Şerafettin Elçi Airport, a public airport serving the Şırnak province in southeastern Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LTCV
Target entity description: LTCV is the ICAO airport code for Şırnak Şerafettin Elçi Airport, a public airport serving the Şırnak province in southeastern Turkey.
  • A. LTC
    LTC is the commonly used abbreviation for the London Transit Commission, the public transportation agency serving the city of London, Ontario, Canada.
  • B. CLVT
    CLVT is the stock ticker symbol for Clarivate Analytics, a global company that provides data, analytics, and insights to support innovation and research across various industries.
  • C. LCV
    LCV (Light Commercial Vehicle) refers to a class of small to medium-sized commercial vans and trucks designed primarily for goods transport and business use.
  • D. LTV
    LTV is the National Rail station code for Lichfield Trent Valley railway station in Staffordshire, England.
  • E. LVA
    LVA is the three-letter ISO 3166-1 alpha-3 country code for Latvia.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11c1f6c8190be1c570a7e44a313 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:53 p.m.