Triple
T23679918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoem Pueblo |
E584990
|
entity |
| Predicate | hasNameInYaquiLanguage |
P152966
|
FINISHED |
| Object | Yoem Pueblo |
—
|
NE NERFINISHED |
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: Yoem Pueblo | Statement: [Yoem Pueblo, hasNameInYaquiLanguage, Yoem Pueblo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInYaquiLanguage Context triple: [Yoem Pueblo, hasNameInYaquiLanguage, Yoem Pueblo]
-
A.
hasNameInNahuatl
Indicates that an entity is known by or assigned a specific name expressed in the Nahuatl language.
-
B.
hasNameInAymaraOrQuechua
Indicates that an entity is known by a specific name expressed in either the Aymara or Quechua language.
-
C.
hasNameInYucatecMaya
Indicates that an entity is known by a particular name when expressed in the Yucatec Maya language.
-
D.
hasNameInQuechua
Indicates that an entity is known or referred to by a specific name in the Quechua language.
-
E.
hasNameInClassicalNahuatl
Indicates that an entity is known by a specific name expressed in the Classical Nahuatl language.
- F. None of above. chosen
Provenance (4 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f73148819089fa0c1a437f91fe |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:51 p.m.