Triple
T24687050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Israel–Syria relations |
E611325
|
entity |
| Predicate | hasNegotiationHistory |
P156980
|
FINISHED |
| Object | indirect talks via Turkey 2008 |
—
|
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: indirect talks via Turkey 2008 | Statement: [Israel–Syria relations, hasNegotiationHistory, indirect talks via Turkey 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNegotiationHistory Context triple: [Israel–Syria relations, hasNegotiationHistory, indirect talks via Turkey 2008]
-
A.
hasNegotiationHistory
chosen
Indicates that there has been one or more prior negotiation interactions or exchanges between the related entities.
-
B.
hasSettlementHistory
Indicates that an entity has a documented history of human settlement or habitation in relation to another entity (such as a place or time period).
-
C.
hasHistoryIn
Indicates that an entity has a past involvement, presence, or record of activity within a particular domain, context, or location.
-
D.
hasPriorHistory
Indicates that an entity has a previously recorded occurrence, condition, or involvement relevant to the current context.
-
E.
hasTransportHistory
Indicates that there exists a record or sequence of past transportation-related events or movements associated with an entity.
- 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_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 3:19 a.m.