Triple

T9192510
Position Surface form Disambiguated ID Type / Status
Subject Wa language E220623 entity
Predicate hasAlternativeName P39 FINISHED
Object Parauk E783476 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: Parauk | Statement: [Wa language, hasAlternativeName, Parauk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parauk
Context triple: [Wa language, hasAlternativeName, Parauk]
  • A. Parauk chosen
    Parauk is an ethnic subgroup of the Waic people, known for its distinct language variety and traditional highland culture in parts of Southeast Asia.
  • B. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • C. Parakar
    Parakar is a village in Armenia’s Armavir Province, situated near the capital Yerevan and known for its proximity to Zvartnots International Airport.
  • D. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • E. Paranesti
    Paranesti is a small town and municipality in northeastern Greece, known for its mountainous landscapes, forests, and proximity to the Nestos River.
  • 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_69ca83e7ba70819088b74866d9da2c30 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5c1fa9c8190bc5cc6dce8778694 completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065d5e81c8190b6687999a87fd559 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:24 p.m.