Triple

T13574657
Position Surface form Disambiguated ID Type / Status
Subject Hakitia E324250 entity
Predicate alternativeName P39 FINISHED
Object Haketia E83088 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: Haketia | Statement: [Hakitia, alternativeName, Haketia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haketia
Context triple: [Hakitia, alternativeName, Haketia]
  • A. Haketia chosen
    Haketia is a Judeo-Spanish dialect historically spoken by Sephardic Jews in northern Morocco and parts of Gibraltar, characterized by strong influences from Moroccan Arabic and Hebrew.
  • B. Leonese
    Leonese is a Romance language of the Astur-Leonese group traditionally spoken in parts of northwestern Spain, particularly in the historical region of León.
  • C. Llanito
    Llanito is a unique vernacular spoken in Gibraltar that blends Andalusian Spanish, British English, and elements from other Mediterranean languages.
  • D. Gallego
    Gallego is a Spanish surname commonly associated with people of Galician origin or ancestry.
  • E. Celta
    Celta is a Spanish football club from Vigo, Galicia, best known for its passionate fanbase and historic rivalry with Deportivo La Coruña in the Galician derby.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb02b1f108190a12af382d1de70bb completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bba21f88190b8952fb0879e623d completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:48 p.m.