Triple

T13721848
Position Surface form Disambiguated ID Type / Status
Subject Southern Spain E329055 entity
Predicate hasCity P316 FINISHED
Object Lorca E281736 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: Lorca | Statement: [Southern Spain, hasCity, Lorca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorca
Context triple: [Southern Spain, hasCity, Lorca]
  • A. Lorca chosen
    Lorca is a historic city in southeastern Spain renowned for its medieval castle, baroque architecture, and rich cultural heritage.
  • B. Gabriel Lorca
    Gabriel Lorca is a morally ambiguous Starfleet captain from the Mirror Universe in Star Trek: Discovery, known for his ruthless tactics and hidden agenda.
  • C. Federico García Lorca
    Federico García Lorca was a renowned 20th-century Spanish poet and playwright associated with the Generation of '27, celebrated for his lyrical, tragic works and his fusion of folklore, surrealism, and political themes.
  • D. Antonio Saura Medrano
    Antonio Saura Medrano is the son of renowned Spanish film director Carlos Saura.
  • E. Antonio Saura
    Antonio Saura was a prominent Spanish painter and graphic artist associated with postwar abstract and expressionist movements.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f3b46481909ceedfa78e9ca92b completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5e1ecc8190a9fec550a99702c0 completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.