Triple
T1584508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aves |
E34033
|
entity |
| Predicate | hasGlobalDistribution |
P32890
|
FINISHED |
| Object | cosmopolitan |
—
|
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: cosmopolitan | Statement: [Aves, hasGlobalDistribution, cosmopolitan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGlobalDistribution Context triple: [Aves, hasGlobalDistribution, cosmopolitan]
-
A.
hasGlobalReach
Indicates that an entity’s influence, operations, or impact extends across multiple countries or worldwide.
-
B.
hasDistributions
Indicates that an entity is associated with one or more distributions through which it is delivered, provided, or made available.
-
C.
distributesIn
Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
-
D.
allowsDistribution
Indicates that one entity grants permission for another entity to distribute or disseminate something (e.g., content, products, or data).
-
E.
hasGlobalParticipation
Indicates that an entity is involved in or contributes to activities, initiatives, or operations that span multiple countries or have worldwide scope.
- 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_69a885fceb2c8190b47e0f7c0aefbff0 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abacfb1144819080c5687175aba1e1 |
completed | March 7, 2026, 4:43 a.m. |
| PD | Predicate disambiguation | batch_69aa61b0f5bc8190b1dc272990a59c13 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69abacf991148190b20521c063f93bfd |
completed | March 7, 2026, 4:43 a.m. |
Created at: March 4, 2026, 7:27 p.m.