Triple

T15571520
Position Surface form Disambiguated ID Type / Status
Subject Towa E374252 entity
Predicate hasAlternativeName P39 FINISHED
Object Towa Jemez E374252 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: Towa Jemez | Statement: [Towa, hasAlternativeName, Towa Jemez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Towa Jemez
Context triple: [Towa, hasAlternativeName, Towa Jemez]
  • A. Towa chosen
    Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
  • B. Tsu’tey
    Tsu’tey is a proud and skilled Na’vi warrior and clan leader from James Cameron’s Avatar universe, known for his bravery, combat prowess, and complex relationship with the film’s protagonists.
  • C. Sariaya
    Sariaya is a historic coastal municipality in the province of Quezon, Philippines, known for its heritage houses, agricultural produce, and beaches along Tayabas Bay.
  • D. Taku-shi
    Taku-shi is a city located in Saga Prefecture on Japan’s Kyushu island, known for its historical sites and rural landscapes.
  • E. Kawaiisu-Tehachapi
    Kawaiisu-Tehachapi is an alternate name for the Kawaiisu language, a critically endangered Uto-Aztecan language traditionally spoken by the Kawaiisu people of the Tehachapi region in California.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e2025888190a2b6240296bba13e completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c4767e48190a180062688cdc245 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 4:10 a.m.