Triple
T28654083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guinea-Bissau Civil War |
E725279
|
entity |
| Predicate | supporterOfGovernment |
P128914
|
FINISHED |
| Object | Senegal |
E36946
|
NE 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: Senegal | Statement: [Guinea-Bissau Civil War, supporterOfGovernment, Senegal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supporterOfGovernment Context triple: [Guinea-Bissau Civil War, supporterOfGovernment, Senegal]
-
A.
supportedGovernment
Indicates that one entity provided assistance, endorsement, or backing to a particular government or governing authority.
-
B.
headOfGovernmentSupported
Indicates that one entity (such as a person, group, or organization) provides support—political, public, or otherwise—for the head of government of another entity.
-
C.
governmentSupporter
chosen
Indicates that one entity supports, endorses, or is aligned with the policies, actions, or authority of a government.
-
D.
supporterOf
Indicates that one entity backs, advocates for, or provides assistance to another entity, cause, or organization.
-
E.
politicalSupporter
Indicates that one entity supports, endorses, or aligns with the political views, actions, or position of another entity.
- F. None of above.
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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_6a01bdacb52481909c56b0398106640e |
completed | May 11, 2026, 11:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a24a238190c8190bad49859ef5627f5 |
completed | June 6, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_6a01bd30c8ec8190b1e54d7658b01a8d |
completed | May 11, 2026, 11:27 a.m. |
Created at: April 28, 2026, 4:54 a.m.