Triple
T20727398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vice Governor of Bali |
E509471
|
entity |
| Predicate | sharesTermWith |
P141275
|
FINISHED |
| Object | Governor of Bali |
—
|
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: Governor of Bali | Statement: [Vice Governor of Bali, sharesTermWith, Governor of Bali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesTermWith Context triple: [Vice Governor of Bali, sharesTermWith, Governor of Bali]
-
A.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
B.
sharesWith
Indicates that one entity gives another entity access to or use of something it possesses.
-
C.
sharesFieldWith
Indicates that two entities are involved in or associated with the same field, discipline, or area of specialization.
-
D.
sharesBaseWith
Indicates that two entities have a common underlying base element, source, or component from which they are derived or constructed.
-
E.
sharesNameWith
Indicates that two entities have the same name or an identical naming designation.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e9ed708190ad8e371646630fea |
completed | April 21, 2026, 12:16 a.m. |
| PD | Predicate disambiguation | batch_69e5c04b31248190b9b9d91b5cb854e3 |
completed | April 20, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69e5c3cbe5788190b7ace43bfdac2ef6 |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 16, 2026, 12:29 p.m.