Triple
T23492763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan–Syria water agreements |
E571619
|
entity |
| Predicate | conflictPotential |
P103824
|
FINISHED |
| Object | water allocation disputes between Jordan and Syria |
—
|
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: water allocation disputes between Jordan and Syria | Statement: [Jordan–Syria water agreements, conflictPotential, water allocation disputes between Jordan and Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictPotential Context triple: [Jordan–Syria water agreements, conflictPotential, water allocation disputes between Jordan and Syria]
-
A.
conflictRisk
chosen
Indicates a likelihood or potential for disagreement, tension, or conflict to arise between the related entities.
-
B.
conflictIn
Indicates that one entity is involved in, associated with, or occurs within a particular conflict or dispute.
-
C.
conflictIntended
Indicates that one entity deliberately aims to oppose, obstruct, or create conflict with another entity or its goals.
-
D.
conflictWith
Indicates that two entities are in opposition or disagreement, such that their goals, actions, or states are incompatible or interfere with each other.
-
E.
conflictSpecific
Indicates a specific, concrete instance or type of conflict that exists between the related entities.
- 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_69e245b4829881909b77a70e942bbd54 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7dd56408190b459077e433ed1c3 |
completed | April 29, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69f0620ac3608190b36916261ea50f54 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 6:05 p.m.