Triple

T16469239
Position Surface form Disambiguated ID Type / Status
Subject MSLP E400015 entity
Predicate formerPrimaryAirportFor P81616 FINISHED
Object San Salvador E15340 NE FINISHED

How this triple was built (3 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: San Salvador | Statement: [MSLP, formerPrimaryAirportFor, San Salvador]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: San Salvador
Context triple: [MSLP, formerPrimaryAirportFor, San Salvador]
  • A. San Salvador chosen
    San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
  • B. San Pedro Sula
    San Pedro Sula is a large industrial and commercial city in northern Honduras, historically known as the country’s economic hub.
  • C. Tegucigalpa
    Tegucigalpa is the capital and largest city of Honduras, serving as its political, cultural, and economic center.
  • D. Xcalakoop San Salvador
    Xcalakoop San Salvador is a locality within the municipality of Tinum in the Mexican state of Yucatán, known for its rural character in the Yucatán Peninsula.
  • E. Juigalpa
    Juigalpa is a city in central Nicaragua that serves as the capital of the Chontales Department and a regional hub for agriculture and cattle ranching.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerPrimaryAirportFor
Context triple: [MSLP, formerPrimaryAirportFor, San Salvador]
  • A. previousPrimaryAirportFor chosen
    Indicates that one airport was formerly the main or primary airport serving a particular location or entity before being replaced by another.
  • B. replacedAsMainAirportFor
    Indicates that one airport has taken over the role of being the primary or main airport serving a particular area from another airport.
  • C. hasPrimaryAirportRole
    Indicates that an entity holds the main or principal functional role associated with an airport.
  • D. parentAirport
    Indicates that one airport serves as the primary or overarching facility from which another, subsidiary or associated airport is derived or managed.
  • E. associatedAirportPrimaryHubFor
    Indicates that an airport serves as the primary hub for a particular airline or transportation operator.
  • F. None of above.

Provenance (4 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcfed6c8190b8dbe4b65b0ab817 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ed25bcc819090ccca4705e4e24f completed May 10, 2026, 11:41 a.m.
PD Predicate disambiguation batch_69e227048d608190a4205eae3117629a completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:11 a.m.