Triple

T8432149
Position Surface form Disambiguated ID Type / Status
Subject Neša E199137 entity
Predicate alternativeName P39 FINISHED
Object Neshaš E199137 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: Neshaš | Statement: [Neša, alternativeName, Neshaš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neshaš
Context triple: [Neša, alternativeName, Neshaš]
  • A. Neša chosen
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • B. Yanešaʼ
    Yanešaʼ is an Arawakan language spoken by the Yanesha people of the central Peruvian Amazon.
  • C. Njeguši
    Njeguši is a historic Montenegrin village in the mountains of the Lovćen region, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
  • D. Nerežišća
    Nerežišća is a historic inland village on the Croatian island of Brač, known for its traditional stone architecture and central location.
  • E. Nischel
    Nischel is the local colloquial nickname for the large Karl Marx Monument in Chemnitz, Germany.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd1a5d7488190842e246444fc9a4e completed March 31, 2026, 1:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce038902308190bff57c9ce14e72ed completed April 2, 2026, 5:50 a.m.
Created at: March 30, 2026, 6:07 p.m.