Triple

T10348513
Position Surface form Disambiguated ID Type / Status
Subject Tachelhit E243817 entity
Predicate alternateName P39 FINISHED
Object Tachelhiyt E618291 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: Tachelhiyt | Statement: [Tachelhit, alternateName, Tachelhiyt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tachelhiyt
Context triple: [Tachelhit, alternateName, Tachelhiyt]
  • A. Tashlultum
    Tashlultum was a queen of the Akkadian Empire, known primarily as the wife of the powerful ruler Naram-Sin.
  • B. Manfalut
    Manfalut is a city in Upper Egypt known as an agricultural and commercial center within the Asyut region along the Nile.
  • C. Taznatit chosen
    Taznatit is a Berber language whose features have influenced the development and structure of the Korandje language.
  • D. Aknalich
    Aknalich is a village in western Armenia notable for its proximity to Lake Aknalich and its location within the country’s agriculturally rich Ararat plain.
  • E. Taygi
    Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e945d51881908dd2af6c78344c9b completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7508e325c8190a88c2b972f8a6846 completed April 9, 2026, 7:09 a.m.
Created at: April 6, 2026, 11:56 a.m.