Triple

T7312923
Position Surface form Disambiguated ID Type / Status
Subject Alicante–Elche Airport E168138 entity
Predicate IATAcode P418 FINISHED
Object ALC
ALC is the IATA airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
E655551 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: ALC | Statement: [Alicante–Elche Airport, IATAcode, ALC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALC
Context triple: [Alicante–Elche Airport, IATAcode, ALC]
  • A. AL 3
    AL 3 is a state highway designation in Alabama that corresponds primarily to U.S. Route 31, running north–south through the state and connecting multiple major cities and communities.
  • B. ALD
    ALD is the former railway station code used for Prayagraj Junction, a major rail hub in the Indian state of Uttar Pradesh.
  • C. ATLC
    ATLC is the station code for the Atlantic City Rail Terminal, a key passenger rail hub in Atlantic City, New Jersey.
  • D. ALG
    ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
  • E. ALO
    ALO is the three-letter IATA airport code for Waterloo Regional Airport in Waterloo, Iowa, United States.
  • 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: ALC
Triple: [Alicante–Elche Airport, IATAcode, ALC]
Generated description
ALC is the IATA airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ALC
Target entity description: ALC is the IATA airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • A. AL 3
    AL 3 is a state highway designation in Alabama that corresponds primarily to U.S. Route 31, running north–south through the state and connecting multiple major cities and communities.
  • B. ALD
    ALD is the former railway station code used for Prayagraj Junction, a major rail hub in the Indian state of Uttar Pradesh.
  • C. ATLC
    ATLC is the station code for the Atlantic City Rail Terminal, a key passenger rail hub in Atlantic City, New Jersey.
  • D. ALG
    ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
  • E. ALO
    ALO is the Arab Labor Organization, a specialized Arab League body that promotes labor standards, employment policies, and workers’ rights across Arab countries.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ec02319c819096d25e3683943886 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e56f4aa0819096d955e2ce298299 completed March 28, 2026, 2:27 p.m.
NEDg Description generation batch_69c7e6bf79d48190a7c30e3513e12070 completed March 28, 2026, 2:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7e78b09488190a361bdd50bd28b71 completed March 28, 2026, 2:36 p.m.
Created at: March 27, 2026, 3:02 p.m.