Triple
T14033983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cembalo |
E337661
|
entity |
| Predicate | languageOfHistoricAdministration |
P11893
|
FINISHED |
| Object | Latin |
—
|
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: Latin | Statement: [Cembalo, languageOfHistoricAdministration, Latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfHistoricAdministration Context triple: [Cembalo, languageOfHistoricAdministration, Latin]
-
A.
languageOfHistoricName
Indicates the language in which a historic or former name of an entity is expressed.
-
B.
historicallyDominantLanguageOfAdministrationIn
chosen
Indicates that a language has historically been the primary language used for official governance and administrative functions within a given place or political entity.
-
C.
historicalAdministrativeRegionName
Indicates the name assigned to an administrative region as it existed during a specific historical period.
-
D.
historicalLanguageOfHierarchy
Indicates that a language served as the traditional or historically established language used by a particular hierarchy or hierarchical institution.
-
E.
historicalLanguageRegion
Indicates that a language was historically spoken or used within a particular geographic region, regardless of its current status there.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fac71188190a586049405f1071e |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.