Triple
T24687059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel–Syria relations |
E611325
|
entity |
| Predicate | hasProxyDimension |
P156981
|
FINISHED |
| Object | Syrian support for Palestinian militant groups |
—
|
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: Syrian support for Palestinian militant groups | Statement: [Israel–Syria relations, hasProxyDimension, Syrian support for Palestinian militant groups]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProxyDimension Context triple: [Israel–Syria relations, hasProxyDimension, Syrian support for Palestinian militant groups]
-
A.
hasProxyDimension
chosen
Indicates that one dimension serves as a stand-in or surrogate for another dimension in representing or measuring something.
-
B.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
-
C.
hasDimensionality
Indicates that an entity possesses a specific number of dimensions or a particular dimensional structure.
-
D.
hasDimensionParameter
Indicates that an entity is associated with a specific dimensional parameter (such as size, length, width, or height) that characterizes its measurable extent.
-
E.
hasDimensionAssociation
Indicates an association between an entity and one or more of its dimensions, such as size, length, width, height, or other measurable extents.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:19 a.m.