Triple

T6123489
Position Surface form Disambiguated ID Type / Status
Subject Tauá E136537 entity
Predicate hasOfficialName P66 FINISHED
Object Tauá E136537 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: Tauá | Statement: [Tauá, hasOfficialName, Tauá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tauá
Context triple: [Tauá, hasOfficialName, Tauá]
  • A. Tauá chosen
    Tauá is a municipality in the interior of the Brazilian state of Ceará, known for its semi-arid landscape and regional agricultural activities.
  • B. Otomi
    Otomi is an indigenous Oto-Manguean language spoken by the Otomi people across several states in central Mexico.
  • C. Tonatiuh
    Tonatiuh is the Aztec sun god, central to their cosmology and warfare ideology, often associated with sacrifice and the valor of elite warriors.
  • D. Agutaynen
    Agutaynen is an Austronesian language spoken by the Agutaynen people in the Philippines, primarily in the province of Palawan.
  • E. Rarámuri
    The Rarámuri, also known as the Tarahumara, are an Indigenous people of northern Mexico renowned for their exceptional long-distance running abilities and traditional way of life in the canyons and mountains of the Sierra Madre.
  • 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_69c0089f851c81909e5e189a617dcff6 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05c25976081909e0a40e07dff0b8a completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135abcef08190a899d7ba261ebb04 completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:14 p.m.