Triple

T3596243
Position Surface form Disambiguated ID Type / Status
Subject Kiliwa E76146 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Paipai E74842 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: Paipai | Statement: [Kiliwa, relatedEthnicGroup, Paipai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paipai
Context triple: [Kiliwa, relatedEthnicGroup, Paipai]
  • A. Paipai chosen
    Paipai are an indigenous people of northern Baja California, Mexico, traditionally speaking a Yuman language and maintaining distinct cultural and historical traditions in the region.
  • B. Taobao
    Taobao is a major Chinese online shopping platform known for its vast marketplace of consumer-to-consumer and business-to-consumer goods.
  • C. Paipai territory
    Paipai territory is the traditional homeland of the Paipai Indigenous people in northern Baja California, encompassing communities such as San Isidoro.
  • D. PiTaPa
    PiTaPa is a rechargeable contactless smart card system used for fare payment on public transportation networks in the Kansai region of Japan.
  • E. Qibao
    Qibao is an ancient water town and popular tourist area in Shanghai, known for its historic streets, canals, and traditional architecture.
  • 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_69ad85d8042081908af94a04c410dec0 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc19b26bc8190b3cc0613a1a98361 completed March 8, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69b403130cf081909bb90800d7dc2d6f completed March 13, 2026, 12:29 p.m.
Created at: March 8, 2026, 3:22 p.m.