Triple
T23523895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan and Israel |
E574580
|
entity |
| Predicate | specialArrangementsIncluded |
P147075
|
FINISHED |
| Object | land-use leases at Baqura and Al-Ghamr |
—
|
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: land-use leases at Baqura and Al-Ghamr | Statement: [Jordan and Israel, specialArrangementsIncluded, land-use leases at Baqura and Al-Ghamr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: specialArrangementsIncluded Context triple: [Jordan and Israel, specialArrangementsIncluded, land-use leases at Baqura and Al-Ghamr]
-
A.
promotionIncludes
Indicates that a particular promotion encompasses, covers, or applies to a specified item, service, or condition.
-
B.
hasArrangementFeature
chosen
Indicates that one entity possesses a specific structural or spatial arrangement characteristic related to another entity or context.
-
C.
concessionIncludes
Indicates that one concession contains, comprises, or encompasses another concession as a part or subset.
-
D.
fareIncludes
Indicates that a given fare covers or contains specific components, services, or conditions as part of its overall offering.
-
E.
hasSpecials
Indicates that an entity offers or is associated with special deals, promotions, or limited-time offers.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1ac71ec8881909bfb706efdc2518f |
completed | April 29, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:09 p.m.