Triple
T26727060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AsiaSat (after refurbishment and resale) |
E673862
|
entity |
| Predicate | operatedForRegion |
P3679
|
FINISHED |
| Object | Asia-Pacific |
—
|
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: Asia-Pacific | Statement: [AsiaSat (after refurbishment and resale), operatedForRegion, Asia-Pacific]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatedForRegion Context triple: [AsiaSat (after refurbishment and resale), operatedForRegion, Asia-Pacific]
-
A.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
B.
operatedByRegion
Indicates that an entity is managed, controlled, or administered by a specific geographic region or regional authority.
-
C.
operatesToRegion
Indicates that an agent conducts operations or provides services directed toward or within a specified region.
-
D.
operatedFor
chosen
Indicates that one entity performed operations or provided services on behalf of, or in support of, another entity for a certain period or purpose.
-
E.
operatedToArea
Indicates that an operation or service is directed or applied to a particular area or region.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fd6f9d600c8190acf495b7fc632e4b |
completed | May 8, 2026, 5:07 a.m. |
| PD | Predicate disambiguation | batch_69fd6e98a2948190a9f78c415ad23b8c |
completed | May 8, 2026, 5:03 a.m. |
Created at: April 27, 2026, 3:43 a.m.