Triple
T3298597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maricopa |
E69275
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Piipaash |
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: Piipaash | Statement: [Maricopa, nativeName, Piipaash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piipaash Context triple: [Maricopa, nativeName, Piipaash]
-
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.
Penipe
Penipe is a small town and canton in central Ecuador known for its agricultural economy and proximity to the active Tungurahua volcano.
-
C.
Pyr
Pyr is a science fiction and fantasy publishing imprint known for releasing speculative fiction titles under the Prometheus Books umbrella.
-
D.
Guapira
Guapira is a genus of flowering plants in the four o'clock family, comprising mostly tropical American trees and shrubs.
-
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_69b2f3d759908190b1f5170930ff03c5 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.