Triple

T7697822
Position Surface form Disambiguated ID Type / Status
Subject Texas General Land Office E174411 entity
Predicate shortName P43 FINISHED
Object GLO E57778 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: GLO | Statement: [Texas General Land Office, shortName, GLO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLO
Context triple: [Texas General Land Office, shortName, GLO]
  • A. glo chosen
    glo is a heated tobacco product brand developed by British American Tobacco as an alternative to traditional cigarettes.
  • B. Gbl
    Gbl is the Phoenician name for the ancient Mediterranean port city known in Greek as Byblos, one of the oldest continuously inhabited cities in the world.
  • C. Gla
    Gla is a large fortified Mycenaean archaeological site in Boeotia, Greece, notable for its massive walls and strategic position overlooking the former Lake Kopais.
  • D. GRO
    GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
  • E. GOLLOG
    GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
  • 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_69c6995a72cc8190998e56daa6f8e453 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702693ee8819080a483c347710b24 completed March 27, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8acaee2c481909efa30125e8ca890 completed March 29, 2026, 4:38 a.m.
Created at: March 27, 2026, 4:03 p.m.