Triple

T10646600
Position Surface form Disambiguated ID Type / Status
Subject La Bicolor E250849 entity
Predicate fifaTrigramme P6278 FINISHED
Object GUA E250201 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: GUA | Statement: [La Bicolor, fifaTrigramme, GUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GUA
Context triple: [La Bicolor, fifaTrigramme, GUA]
  • A. GUA chosen
    GUA is the official FIFA trigramme used to represent the Guatemala national football team in international competitions and records.
  • B. GUA
    GUA is the vehicle registration code used on license plates for vehicles registered in Guatemala City, the capital of Guatemala.
  • C. GAU
    GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
  • D. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • E. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • 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_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe1cd6081909df9e4dc0fda1f0b completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a580d388190aea5edadd4afc0d1 completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 9:05 p.m.