Triple
T22562374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamengkubuwono X |
E557848
|
entity |
| Predicate | governorFrom |
P148748
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Hamengkubuwono X, governorFrom, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governorFrom Context triple: [Hamengkubuwono X, governorFrom, 1998]
-
A.
provinceGovernor
Indicates that one entity serves as the governor or chief administrative authority of a particular province in relation to the other entity.
-
B.
governorateOf
Indicates that one entity is the governorate (administrative region) to which another entity belongs or is located within.
-
C.
governorBasedIn
Indicates that a governor carries out their official duties or has their primary office located in a specified place.
-
D.
governorRepresents
Indicates that a governor acts on behalf of, and serves as the official representative of, a particular jurisdiction or group.
-
E.
currentGovernor
Indicates that one entity is the person who presently holds the office of governor of the other 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fa6a928819083925ea23aaaf725 |
completed | April 29, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:52 p.m.