Triple
T12424568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OFFP |
E296863
|
entity |
| Predicate | hadCondition |
P104846
|
FINISHED |
| Object | oil revenues to be used only for approved humanitarian and infrastructure items |
—
|
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: oil revenues to be used only for approved humanitarian and infrastructure items | Statement: [OFFP, hadCondition, oil revenues to be used only for approved humanitarian and infrastructure items]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadCondition Context triple: [OFFP, hadCondition, oil revenues to be used only for approved humanitarian and infrastructure items]
-
A.
sufferedCondition
Indicates that an entity experienced or was afflicted by a particular condition, typically adverse or harmful, at some point in time.
-
B.
hadOrgan
Indicates that an entity previously possessed or contained a specific organ as part of its body.
-
C.
hasHistoryOf
Indicates that an entity has a documented prior occurrence or background of a specified condition, event, or state.
-
D.
hasHad
Indicates that an entity previously experienced, possessed, or was involved in something at some point in the past.
-
E.
hadIssue
Indicates that an entity experienced, encountered, or was affected by a particular problem, defect, or difficulty.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94df652cc8190a1d2d685fa87cf98 |
completed | April 10, 2026, 7:22 p.m. |
Created at: April 8, 2026, 9:55 p.m.