Triple

T1761888
Position Surface form Disambiguated ID Type / Status
Subject Naissus E38674 entity
Predicate hasAlternativeName P39 FINISHED
Object Naisus E195476 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: Naisus | Statement: [Naissus, hasAlternativeName, Naisus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naisus
Context triple: [Naissus, hasAlternativeName, Naisus]
  • A. Naisos chosen
    Naisos is an alternative name for Naissus, the ancient city located at the site of modern-day Niš in Serbia, historically significant as a major Roman and Byzantine center.
  • B. Kinana
    Kinana is an ancient Arab tribal confederation regarded as one of the major ancestral tribes of the Quraysh and other prominent groups in the Arabian Peninsula.
  • C. Nese
    Nese is an endangered Oceanic language spoken by a small community on the island of Malakula in Vanuatu.
  • D. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • E. Le Niêsant
    Le Niêsant is a small islet within the Les Minquiers reef and island group in the Channel Islands, known for its remote, tidal environment.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6463ac0081909e9ebe6ebf1db857 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada98eb0348190a44e05393a2c6eff completed March 8, 2026, 4:53 p.m.
Created at: March 4, 2026, 7:31 p.m.