Triple
T37904009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Angola |
E945497
|
entity |
| Predicate | conflictOfInterestWith |
P4897
|
FINISHED |
| Object | Portugal |
—
|
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: Portugal | Statement: [Spanish Angola, conflictOfInterestWith, Portugal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictOfInterestWith Context triple: [Spanish Angola, conflictOfInterestWith, Portugal]
-
A.
conflictOfInterest
Indicates a situation where an entity’s personal, financial, or other interests could improperly influence, or appear to influence, its decisions or actions regarding another entity or matter.
-
B.
hasProfessionalConflictWith
Indicates a relationship in which two parties are in opposition or disagreement in a professional context, such as competing interests, roles, or obligations.
-
C.
hasEthicalConflictWith
Indicates a relationship where two entities are in opposition or tension due to differing ethical principles, values, or standards.
-
D.
hasConflictOfInterestDebate
Indicates that there is a debate or dispute over whether a conflict of interest exists between the involved entities.
-
E.
conflictWith
chosen
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:20 p.m.