Triple
T12168289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French bombardment of Damascus in 1925 |
E289889
|
entity |
| Predicate | reasonGivenByFrance |
P15014
|
FINISHED |
| Object | restoration of order in Damascus |
—
|
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: restoration of order in Damascus | Statement: [French bombardment of Damascus in 1925, reasonGivenByFrance, restoration of order in Damascus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonGivenByFrance Context triple: [French bombardment of Damascus in 1925, reasonGivenByFrance, restoration of order in Damascus]
-
A.
reservedToFrance
Indicates that something is exclusively allocated or designated for France.
-
B.
resultForFrance
Indicates the outcome or result of an event, action, or process specifically as it pertains to France.
-
C.
obligationsOfFrance
Indicates that the specified obligations are those that France is responsible for or bound to fulfill.
-
D.
objectiveOfFrance
chosen
Indicates that something is an objective, goal, or aim pursued by France.
-
E.
significanceForFrance
Indicates that something holds particular importance, impact, or relevance specifically in the context of France.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.