Triple
T32786991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunung Guntur |
E838524
|
entity |
| Predicate | languageNameIndonesian |
P24145
|
FINISHED |
| Object | Gunung Guntur |
—
|
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: Gunung Guntur | Statement: [Gunung Guntur, languageNameIndonesian, Gunung Guntur]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageNameIndonesian Context triple: [Gunung Guntur, languageNameIndonesian, Gunung Guntur]
-
A.
nameInIndonesian
chosen
Indicates that an entity is referred to by a specified name in the Indonesian language.
-
B.
IDN
Indicates that two entities are identical in value, reference, or identity, representing exact sameness rather than mere similarity.
-
C.
hasJavaneseName
Indicates that an entity possesses a name expressed in the Javanese language.
-
D.
recognizedAsIndonesianTerritoryBy
Indicates that one entity is acknowledged or accepted by another as belonging to, or falling under the sovereignty of, Indonesian territory.
-
E.
languageName
Indicates the specific name assigned to a language in the relationship.
- 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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fff328ddc0819080642334a41fcf95 |
completed | May 10, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69fff2e0971c819081aa66f4a6a34b28 |
completed | May 10, 2026, 2:52 a.m. |
Created at: May 1, 2026, 1:14 a.m.