Triple
T29687375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copa Verde |
E751123
|
entity |
| Predicate | includesStateFederationsFrom |
P201249
|
FINISHED |
| Object | Acre |
—
|
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: Acre | Statement: [Copa Verde, includesStateFederationsFrom, Acre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesStateFederationsFrom Context triple: [Copa Verde, includesStateFederationsFrom, Acre]
-
A.
includesFederalState
Indicates that one entity encompasses or contains both federal-level and state-level components, jurisdictions, or elements.
-
B.
includesSovereignState
Indicates that one entity encompasses or contains a sovereign state within its scope, membership, or composition.
-
C.
includesStateOrProvince
Indicates that one entity geographically contains or encompasses a specific state or province within its boundaries.
-
D.
stateFederation
Indicates that a state is a member of, or participates in, a larger federal union or federation.
-
E.
includesFederalMemberState
Indicates that an entity (such as a federation or union) has a particular member state as part of its federal structure.
- 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_69f0d625b09481909b0b69aea1e846c8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69ffe12ee59c8190bc7da386e6d5332d |
completed | May 10, 2026, 1:36 a.m. |
| PD | Predicate disambiguation | batch_69ffe0a138bc8190a3d4b48cd579e985 |
completed | May 10, 2026, 1:34 a.m. |
| PDg | Predicate description generation | batch_69ffe12d61e0819098692270ab2625e3 |
completed | May 10, 2026, 1:36 a.m. |
Created at: April 28, 2026, 7:14 p.m.