Triple
T27562620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenderal Besar |
E695812
|
entity |
| Predicate | countrySpecific |
P63571
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Jenderal Besar, countrySpecific, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countrySpecific Context triple: [Jenderal Besar, countrySpecific, yes]
-
A.
countryFeatured
Indicates that a particular country is highlighted or given special prominence in a given context or presentation.
-
B.
countryIn
Indicates that one entity is geographically or politically located within the boundaries of a specified country.
-
C.
countryVariant
chosen
Indicates that one entity is a country-specific variant or localized version of another entity.
-
D.
countryTargeted
Indicates that a particular country is the intended object or focus of an action, operation, or influence.
-
E.
countryScope
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 27, 2026, 1:40 p.m.