Triple

T20160043
Position Surface form Disambiguated ID Type / Status
Subject Latin American Free Trade Association E491677 entity
Predicate alsoKnownAs P39 FINISHED
Object ALALC NE NERFINISHED

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: ALALC | Statement: [Latin American Free Trade Association, alsoKnownAs, ALALC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALALC
Context triple: [Latin American Free Trade Association, alsoKnownAs, ALALC]
  • A. ALALC chosen
    ALALC is the Spanish acronym for the Latin American Free Trade Association, a regional organization created to promote economic integration and reduce trade barriers among Latin American countries.
  • B. ALC
    ALC is the IATA airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
  • C. ALCA
    ALCA is the Spanish and Portuguese acronym for the proposed Free Trade Area of the Americas, a regional trade agreement that aimed to eliminate or reduce trade barriers among countries in the Western Hemisphere.
  • D. ALCOM
    ALCOM is the abbreviated designation for Alaskan Command, a U.S. military command responsible for defense operations in and around Alaska.
  • E. ALD
    ALD is the former railway station code used for Prayagraj Junction, a major rail hub in the Indian state of Uttar Pradesh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e667e37c8c8190827839291027d9e2 completed April 20, 2026, 5:52 p.m.
Created at: April 11, 2026, 11:34 p.m.