Triple

T13770701
Position Surface form Disambiguated ID Type / Status
Subject Pedro Fages E330872 entity
Predicate familyName P18 FINISHED
Object Fages E330872 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: Fages | Statement: [Pedro Fages, familyName, Fages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fages
Context triple: [Pedro Fages, familyName, Fages]
  • A. Fages chosen
    Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
  • B. Saffais
    Saffais is a small commune in the Meurthe-et-Moselle department of northeastern France.
  • C. Darré
    Darré is a German surname most notably associated with Walter Darré, a leading agrarian ideologue and high-ranking official in Nazi Germany.
  • D. Fossanova
    Fossanova is a locality in central Italy known for giving its name to the nearby medieval Cistercian monastery, Fossanova Abbey.
  • E. Clivillés
    Clivillés is the surname of Robert Clivillés, a prominent American music producer and one half of the dance music duo C+C Music Factory.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0235aea881909ab4c721db081b00 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a86907cc8190a6a6b475d08f0dc7 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.