Triple

T1090024
Position Surface form Disambiguated ID Type / Status
Subject LATAM Airlines Group E24140 entity
Predicate callsign P1565 FINISHED
Object LAN E123605 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: LAN | Statement: [LATAM Airlines Group, callsign, LAN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LAN
Context triple: [LATAM Airlines Group, callsign, LAN]
  • A. LAN chosen
    LAN is the ICAO airline designator used for flights operated by LATAM Airlines Group, a major Latin American airline conglomerate.
  • B. Ethernet
    Ethernet is a widely used wired networking technology that connects devices in local area networks (LANs) for high-speed, reliable data communication.
  • C. NIC
    NIC is the three-letter ISO 3166-1 alpha-3 country code assigned to Nicaragua.
  • D. NIC
    NIC is an abbreviation commonly used to refer to North Infirmary Command, a medical or correctional facility unit.
  • E. Network Infrastructure
    Network Infrastructure is a Nokia business segment focused on providing networking hardware, software, and services that enable high-performance, reliable communication networks for service providers and enterprises.
  • 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_69a49404428c819092dcc9632f5f7b8b completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b97f216881909e9b8943ce2078e4 completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac4c2a20b48190b3a550f6e5ee13e1 completed March 7, 2026, 4:02 p.m.
Created at: March 1, 2026, 7:42 p.m.