Triple

T3551704
Position Surface form Disambiguated ID Type / Status
Subject Ipai-Tipai E75124 entity
Predicate alternativeName P39 FINISHED
Object Tipai E73018 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: Tipai | Statement: [Ipai-Tipai, alternativeName, Tipai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tipai
Context triple: [Ipai-Tipai, alternativeName, Tipai]
  • A. Tipai chosen
    Tipai is a Yuman language variety traditionally spoken by the Tipai people of northern Baja California and southern California, closely related to other Kumeyaay dialects.
  • B. Tayasan
    Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
  • C. Tai
    Tai is a major language family of Southeast Asia that includes languages such as Thai and Lao, spoken by tens of millions of people across the region.
  • D. Tai
    Tai is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct cultural identity within the broader Ogoni community.
  • E. Patigi
    Patigi is a town and local government area in central Nigeria known for its Nupe cultural heritage and proximity to the River Niger.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc05256f081908b8d6a5df917e679 completed March 8, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bb9218448190ae432ae74c0a6916 completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:20 p.m.