Triple
T32161942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osorno Huilliche |
E821450
|
entity |
| Predicate | hasAncestralTerritoriesIn |
P188111
|
FINISHED |
| Object | Osorno province |
—
|
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: Osorno province | Statement: [Osorno Huilliche, hasAncestralTerritoriesIn, Osorno province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAncestralTerritoriesIn Context triple: [Osorno Huilliche, hasAncestralTerritoriesIn, Osorno province]
-
A.
hasConstituentTerritory
Indicates that one geopolitical entity includes another as a territorial part or subdivision within its jurisdiction.
-
B.
hasNumberOfDependentTerritories
Indicates the quantitative relationship specifying how many dependent territories are associated with a given entity.
-
C.
hasOverseasTerritory
Indicates that one entity possesses or controls a territory located outside its own primary geographic or sovereign domain.
-
D.
wasCoreTerritoryOf
Indicates that a region historically formed the central or most important territorial area belonging to a particular political or cultural entity.
-
E.
hasTerritorialPossession
Indicates that one entity holds ownership, control, or legal rights over a specific territory or geographic area.
- 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_69f34905e098819082191a6922a6d607 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fba28684208190921694f23e350c3b |
completed | May 6, 2026, 8:20 p.m. |
Created at: May 1, 2026, 12:32 a.m.