Triple

T3298599
Position Surface form Disambiguated ID Type / Status
Subject Maricopa E69275 entity
Predicate alternativeName P39 FINISHED
Object Piipaa E63688 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: Piipaa | Statement: [Maricopa, alternativeName, Piipaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piipaa
Context triple: [Maricopa, alternativeName, Piipaa]
  • A. Piipaash chosen
    Piipaash are a Native American people of the lower Colorado River region, closely related to the Maricopa and known for their distinct language and cultural traditions.
  • B. Paihia
    Paihia is a popular coastal town in New Zealand’s Bay of Islands, known as a gateway to the historic Waitangi Treaty Grounds and for its scenic beaches and marine activities.
  • C. Penipe
    Penipe is a small town and canton in central Ecuador known for its agricultural economy and proximity to the active Tungurahua volcano.
  • D. Pijin
    Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
  • E. Pikiell
    Pikiell is the surname of Steve Pikiell, an American college basketball coach best known for leading the Rutgers Scarlet Knights men's basketball program.
  • 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_69ad859e529c8190a404273f53cb487d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0a49b748190b6db99a85c3cb3c5 completed March 8, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a6fcb9c819084b0c2a1c8af9c49 completed March 12, 2026, 7:56 p.m.
Created at: March 8, 2026, 3:10 p.m.