Triple

T18080565
Position Surface form Disambiguated ID Type / Status
Subject Nisenan language E432676 entity
Predicate alternativeName P39 FINISHED
Object Neeseen 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: Neeseen | Statement: [Nisenan language, alternativeName, Neeseen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neeseen
Context triple: [Nisenan language, alternativeName, Neeseen]
  • A. Nednai
    Nednai is an alternate name for the Nednhi Apache, a subgroup of the Chiricahua Apache people historically living in northern Mexico and the U.S. Southwest.
  • B. Nechtan
    Nechtan is a figure from Irish mythology, often depicted as a water or river deity associated with sacred wells and the goddess Boann.
  • C. Neesen chosen
    Neesen is a former locality in North Rhine-Westphalia, Germany, that was incorporated into the town of Porta Westfalica.
  • D. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • E. Neshnabé
    Neshnabé is the self-designation used by the Potawatomi people to refer to themselves in their own language.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fa080081909e1a05e98185a026 completed April 19, 2026, 1:34 p.m.
Created at: April 10, 2026, 10:27 a.m.