Triple
T23749287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lakey Peak |
E586913
|
entity |
| Predicate | isLocatedInRegency |
P153545
|
FINISHED |
| Object | Dompu Regency |
—
|
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: Dompu Regency | Statement: [Lakey Peak, isLocatedInRegency, Dompu Regency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedInRegency Context triple: [Lakey Peak, isLocatedInRegency, Dompu Regency]
-
A.
hasRegency
Indicates that one entity exercises regency authority or governing power on behalf of another, typically during the latter’s minority, incapacity, or absence.
-
B.
hasRegencyType
Indicates that an entity is associated with a specific type or form of regency (i.e., a particular kind of regent rule or regent arrangement).
-
C.
regencyCapital
Indicates that a location serves as the administrative capital or seat of government for a regency-level jurisdiction.
-
D.
passesThroughRegency
Indicates that something (such as a route, path, or boundary) traverses or goes through the area governed by a particular regency.
-
E.
partOfRegency
Indicates that one entity functions as a regent or governing authority on behalf of, or as a component of, a larger regency arrangement associated with another entity.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcc118dc8190b0b92e402b9a7dd4 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:13 p.m.