Triple
T9313115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | F-root |
E224051
|
entity |
| Predicate | geographicallyDistributed |
P32890
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [F-root, geographicallyDistributed, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicallyDistributed Context triple: [F-root, geographicallyDistributed, true]
-
A.
distributedThrough
Indicates that something is supplied, delivered, or made available to others by means of a particular channel, intermediary, or distribution method.
-
B.
distributedAs
Indicates that something is allocated, delivered, or spread out according to a particular pattern, rule, or distribution scheme.
-
C.
distributedWith
Indicates that one entity is supplied, packaged, or made available together with another entity as part of the same distribution.
-
D.
distributedFor
Indicates that something is handed out, allocated, or made available for the benefit or use of a particular recipient, purpose, or context.
-
E.
hasGlobalDistribution
chosen
Indicates that the related entity occurs, operates, or is present across most or all regions of the world rather than being confined to a specific locality 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:37 p.m.