Triple

T13124346
Position Surface form Disambiguated ID Type / Status
Subject Teenek E311805 entity
Predicate alsoKnownAs P39 FINISHED
Object Wastek E311804 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: Wastek | Statement: [Teenek, alsoKnownAs, Wastek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wastek
Context triple: [Teenek, alsoKnownAs, Wastek]
  • A. Wastek chosen
    Wastek is the endonym for the Huastec people and their Mayan language spoken in northeastern Mexico.
  • B. Wachlarz
    Wachlarz was a Polish World War II underground diversionary unit that conducted sabotage and intelligence operations, particularly in the eastern territories occupied by Nazi Germany.
  • C. Prószków
    Prószków is a small town in southwestern Poland known for its historical architecture and location near the regional capital, Opole.
  • D. Praszka
    Praszka is a small town in southwestern Poland known for its location in the Opole region and its local industrial and cultural activities.
  • E. Kostrza
    Kostrza is a mountain peak in southern Poland that forms part of the Beskid Wyspowy range in the Western Carpathians.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819946808190b41335fb1054accd completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e289462c8190b1625a26f019d744 completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:07 p.m.