Triple
T545628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maricopa language |
E12725
|
entity |
| Predicate | autonym |
P1435
|
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 language, autonym, Piipaash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piipaash Context triple: [Maricopa language, autonym, 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.
Philortyx
Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
-
C.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
-
D.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
E.
Oni
Oni is a small town in the Racha region of northwestern Georgia, known for its mountainous surroundings and traditional Georgian 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dfec5c81908b76d723b30dc2f0 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4e02e0c1c81908fcb5356dc2b8f97 |
completed | March 2, 2026, 12:56 a.m. |
Created at: March 1, 2026, 7:32 p.m.