Triple

T964499
Position Surface form Disambiguated ID Type / Status
Subject L. L. Zamenhof E20807 entity
Predicate notableWork P4 FINISHED
Object Unua Libro E16296 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: Unua Libro | Statement: [L. L. Zamenhof, notableWork, Unua Libro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unua Libro
Context triple: [L. L. Zamenhof, notableWork, Unua Libro]
  • A. Unua Libro chosen
    Unua Libro is the 1887 booklet by L. L. Zamenhof that first introduced and described the constructed international language Esperanto.
  • B. Dua Libro
    "Dua Libro" is the second major book in the early Esperanto literature corpus, continuing the development and promotion of the Esperanto language after "Unua Libro."
  • C. La Première
    La Première is a Swiss French-language public radio station operated by Radio Télévision Suisse, offering news, culture, and talk programming.
  • D. La Première
    La Première is Air France’s ultra-luxury first-class cabin, known for its exclusive suites, refined service, and premium amenities on select long-haul routes.
  • E. La Première
    La Première is a French public television network of regional channels serving France’s overseas departments and territories, operated by the national broadcaster France Télévisions.
  • 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_69a493b33d2c81909c52c369d3ca8436 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b4303e5881909d101d11f9732c75 completed March 1, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac11a82bfc81908a30b19d4ecc25f1 completed March 7, 2026, 11:53 a.m.
Created at: March 1, 2026, 7:40 p.m.