Triple
T27173198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liwa Fatemiyoun |
E682972
|
entity |
| Predicate | typeOfSupportTo |
P936
|
FINISHED |
| Object | military support to Syrian government |
—
|
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: military support to Syrian government | Statement: [Liwa Fatemiyoun, typeOfSupportTo, military support to Syrian government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSupportTo Context triple: [Liwa Fatemiyoun, typeOfSupportTo, military support to Syrian government]
-
A.
typeOfSupport
chosen
Indicates the kind or category of assistance, help, or backing provided in a given context.
-
B.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
C.
supportsType
Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
-
D.
acceptsSupportVia
Indicates that one entity receives or allows support, assistance, or help to be provided through a specified medium, method, or channel.
-
E.
IndependentSupportBase
Indicates that one entity serves as a foundational, self-sufficient support structure for another, not relying on additional supports or connections.
- 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_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fd9ff026a48190bfec33deeb3b2c43 |
completed | May 8, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69fd97d805bc8190ba12f429d3ad04c7 |
completed | May 8, 2026, 7:59 a.m. |
Created at: April 27, 2026, 9:24 a.m.