Triple

T23174152
Position Surface form Disambiguated ID Type / Status
Subject Ness E578948 entity
Predicate hasLocalName P6353 FINISHED
Object Nis NE NERFINISHED

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: Nis | Statement: [Ness, hasLocalName, Nis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nis
Context triple: [Ness, hasLocalName, Nis]
  • A. Nish chosen
    Nish is an alternative historical spelling of Niš, a major city in southern Serbia known for its long history dating back to Roman times.
  • B. Nispen
    Nispen is a village in the Dutch province of North Brabant, located near the city of Roosendaal close to the Belgian border.
  • C. Nisseni
    Nisseni are the inhabitants or natives of Caltanissetta, a city in central Sicily, Italy.
  • D. Nisi
    Nisi is a given name associated with the individual known as Shawl Nisi.
  • E. Nesite
    Nesite is the term commonly used by modern scholars for the Hittite language, an ancient Indo-European language once spoken in Anatolia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f31f70081909c977d4e43678a9f completed April 29, 2026, 4:55 a.m.
Created at: April 17, 2026, 4:04 p.m.