Triple
T38056789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calchaquí Wars |
E950224
|
entity |
| Predicate | languageOfBelligerent |
P10179
|
FINISHED |
| Object | Cacán |
—
|
LITERAL 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: Cacán | Statement: [Calchaquí Wars, languageOfBelligerent, Cacán]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfBelligerent Context triple: [Calchaquí Wars, languageOfBelligerent, Cacán]
-
A.
combatantLanguage
chosen
Indicates the language used by a combatant in a conflict or competitive interaction.
-
B.
languageOfOccupyingAuthorities
Indicates the language used by the authorities or powers that are occupying or controlling a territory.
-
C.
languageOfUnion
Indicates that a specified language is officially used or recognized as a language of a particular union or union-level entity.
-
D.
languageOfSurroundingCountry
Indicates that a language is the primary or commonly used language in the country surrounding a given place or region.
-
E.
languageOfDispute
Indicates the language in which a dispute, conflict, or legal case is conducted or documented.
- F. None of above.
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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a01d48f41f4819093a5b47288a073c1 |
completed | May 11, 2026, 1:07 p.m. |
| PD | Predicate disambiguation | batch_6a01d3fa278c8190838174dd96ef5dde |
completed | May 11, 2026, 1:04 p.m. |
Created at: May 3, 2026, 4:21 p.m.