Triple
T36206662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acomayo |
E1047415
|
entity |
| Predicate | hasRegionallySpokenLanguage |
P204789
|
FINISHED |
| Object | Quechua |
E3862
|
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: Quechua | Statement: [Acomayo, hasRegionallySpokenLanguage, Quechua]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRegionallySpokenLanguage Context triple: [Acomayo, hasRegionallySpokenLanguage, Quechua]
-
A.
isSpokenOn
Indicates that a particular language, phrase, or utterance is used or occurs during a specified time, event, or occasion.
-
B.
hasLanguageOfWiderRegion
Indicates that an entity uses a language that serves as a more widely used or regionally dominant language beyond its immediate local context.
-
C.
recognizedRegionalLanguage
Indicates that a language holds officially recognized status within a specific region or subnational jurisdiction.
-
D.
languageBranchOfDialectSpoken
Indicates that one language branch is the higher-level linguistic group from which a given spoken dialect originates or to which that dialect belongs.
-
E.
hasLanguageOfSurroundingCountries
Indicates that an entity uses or includes the languages commonly spoken in the countries that geographically surround it.
- F. None of above. chosen
Provenance (5 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_69f76e4214748190a76c986d2a1838c2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3934217e588190aeeaf3a1e21bdaa9 |
completed | June 22, 2026, 1:09 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:09 p.m.