Triple

T3923842
Position Surface form Disambiguated ID Type / Status
Subject Carriel Sur International Airport E93224 entity
Predicate serves P98 FINISHED
Object Concepción E15421 NE FINISHED

How this triple was built (2 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: Concepción | Statement: [Carriel Sur International Airport, serves, Concepción]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Concepción
Context triple: [Carriel Sur International Airport, serves, Concepción]
  • A. Concepción chosen
    Concepción is a major Chilean city in the south-central part of the country, known as an important industrial, commercial, and educational center.
  • B. Concepción
    Concepción is an active stratovolcano located on Ometepe Island in Lake Nicaragua, known for its symmetrical cone shape and frequent eruptions.
  • C. Concepción
    Concepción was one of the ships in Ferdinand Magellan’s expedition that took part in the first circumnavigation of the globe.
  • D. Concepción
    Concepción is a city in northern Paraguay known as a regional commercial and river port hub.
  • E. La Serena
    La Serena is a coastal city in northern Chile known for its colonial architecture, beaches, and role as a gateway to major astronomical observatories in the region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeed7c2c848190a6d62e2df9b942d4 completed March 9, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56284b2708190858e830355f3ff24 completed March 14, 2026, 1:28 p.m.
Created at: March 9, 2026, 3:23 p.m.