Triple

T3372687
Position Surface form Disambiguated ID Type / Status
Subject TACA Airlines E70990 entity
Predicate IATACode P418 FINISHED
Object TA
TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
 E354161 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: TA | Statement: [TACA Airlines, IATACode, TA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TA
Context triple: [TACA Airlines, IATACode, TA]
  • A. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • B. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • C. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • D. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • E. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • 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: TA
Triple: [TACA Airlines, IATACode, TA]
Generated description
TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TA
Target entity description: TA is the IATA airline designator assigned to TACA Airlines, a major Central American carrier that later merged into Avianca.
  • A. TA
    TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
  • B. TRA
    TRA is the UK government body responsible for regulating the teaching profession, including overseeing teacher misconduct and maintaining professional standards.
  • C. TU
    TU is the international vehicle registration code assigned to Tunisia.
  • D. TU
    TU is the common English abbreviation for Tohoku University, a leading national research university in Sendai, Japan.
  • E. TD
    TD is the two-letter ISO 3166-1 alpha-2 country code assigned to Chad.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2bdcf70819087fc7e00fbd61e0d completed March 8, 2026, 5:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3343fd8a08190bf426884ec42948c completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334e5171c8190a01bb6fef5644825 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3390c50b08190b6239b5f0d1eb4ba completed March 12, 2026, 10:07 p.m.
Created at: March 8, 2026, 3:13 p.m.