Triple

T3765889
Position Surface form Disambiguated ID Type / Status
Subject TAV Airports E82675 entity
Predicate tickerSymbol P1447 FINISHED
Object TAVHL
TAVHL is the stock ticker symbol for TAV Airports Holding, a Turkish company that develops and operates airport terminals and related services.
 E386830 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: TAVHL | Statement: [TAV Airports, tickerSymbol, TAVHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TAVHL
Context triple: [TAV Airports, tickerSymbol, TAVHL]
  • A. TLH
    TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • D. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • E. TLV
    TLV is the IATA airport code for Ben Gurion International Airport serving Tel Aviv and the surrounding region in Israel.
  • 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: TAVHL
Triple: [TAV Airports, tickerSymbol, TAVHL]
Generated description
TAVHL is the stock ticker symbol for TAV Airports Holding, a Turkish company that develops and operates airport terminals and related services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TAVHL
Target entity description: TAVHL is the stock ticker symbol for TAV Airports Holding, a Turkish company that develops and operates airport terminals and related services.
  • A. TLH
    TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
  • B. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • C. HLC
    HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • D. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • E. TLV
    TLV is the IATA airport code for Ben Gurion International Airport serving Tel Aviv and the surrounding region in Israel.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfeb52081909c38103beb5dbdcd completed March 8, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5221ab08190a3599afbbd5dbc6e completed March 14, 2026, 4:33 a.m.
NEDg Description generation batch_69b4e5f07c7081908e1aae715984aac4 completed March 14, 2026, 4:37 a.m.
NED2 Entity disambiguation (via description) batch_69b4e6531b48819083c0d14c2ca4f7c1 completed March 14, 2026, 4:38 a.m.
Created at: March 8, 2026, 3:35 p.m.