Triple
T36400717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abyei |
E896615
|
entity |
| Predicate | flashpointFor |
P50697
|
FINISHED |
| Object | armed clashes |
—
|
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: armed clashes | Statement: [Abyei, flashpointFor, armed clashes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flashpointFor Context triple: [Abyei, flashpointFor, armed clashes]
-
A.
consideredFlashpointBy
Indicates that something is regarded as a source of tension, conflict, or potential escalation by a particular party or group.
-
B.
flashType
Indicates the type or mode of flash used or associated with an event, object, or action.
-
C.
flashPeriod
Indicates the duration or interval between successive flashes in a repeating flashing event.
-
D.
frontlineAdvance
Indicates a movement of military or conflict front lines forward into previously uncontrolled or enemy-held territory.
-
E.
majorFlashpointIn
chosen
Indicates that an event, issue, or conflict serves as a primary source of tension or confrontation within a specified larger context or setting.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.