Triple

T13536296
Position Surface form Disambiguated ID Type / Status
Subject Calafia Airlines E323269 entity
Predicate IATAcode P418 FINISHED
Object A7
A7 is the two-character IATA airline designator assigned to Calafia Airlines, a regional carrier based in Mexico.
E1046601 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: A7 | Statement: [Calafia Airlines, IATAcode, A7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A7
Context triple: [Calafia Airlines, IATAcode, A7]
  • A. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • B. A71
    A71 is a major French autoroute that runs through central France, connecting the Paris region to Clermont-Ferrand and linking with other key motorways.
  • C. A73
    A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • D. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • E. A75
    A75 is a major road designation used for important motorway and trunk routes in parts of 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: A7
Triple: [Calafia Airlines, IATAcode, A7]
Generated description
A7 is the two-character IATA airline designator assigned to Calafia Airlines, a regional carrier based in Mexico.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: A7
Target entity description: A7 is the two-character IATA airline designator assigned to Calafia Airlines, a regional carrier based in Mexico.
  • A. A7
    A7 is a major European motorway designation used for key north–south and east–west highway routes in several countries.
  • B. A71
    A71 is a major French autoroute that runs through central France, connecting the Paris region to Clermont-Ferrand and linking with other key motorways.
  • C. A73
    A73 is a major German autobahn in Bavaria and Thuringia that links cities such as Lichtenfels with the broader national motorway network.
  • D. A73
    A73 is a primary road in Scotland that connects several towns and serves as a key regional transport route.
  • E. A75
    A75 is a major road designation used for important motorway and trunk routes in parts of 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafbe39948190808062d4eff91841 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d9a448c81908fa57a909a9097f7 completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75e7d8970819092116ae7a769ac21 completed May 3, 2026, 2:41 p.m.
NED2 Entity disambiguation (via description) batch_69f75f35c6008190b88e14feddb93a1d completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:44 p.m.