Triple

T3580641
Position Surface form Disambiguated ID Type / Status
Subject The Paras E75789 entity
Predicate nickname P55 FINISHED
Object The Paras E75789 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: The Paras | Statement: [The Paras, nickname, The Paras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Paras
Context triple: [The Paras, nickname, The Paras]
  • A. The Paras chosen
    The Paras are an elite airborne infantry regiment of the British Army renowned for their rigorous training, rapid deployment capabilities, and distinguished combat history.
  • B. Pericos
    Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
  • C. Horcones
    Horcones is a small settlement in Argentina’s Mendoza Province that serves as the main gateway and trailhead area for climbers and trekkers heading toward Aconcagua via Plaza de Mulas.
  • D. Paratus
    Paratus is the Latin motto of Bentley University, meaning "prepared" and reflecting the institution’s emphasis on readiness for professional and personal success.
  • E. Pucikwar
    Pucikwar is an extinct Great Andamanese language once spoken by the Pucikwar people of the Andaman Islands in India.
  • 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_69ad85d5e3008190bdfe0bacdd1f5a1b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc101738c81908d38987f8fa291ef completed March 8, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bbc95fa881909846a6d53ba6a24e completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.