Triple
T26025332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allon Plan |
E647273
|
entity |
| Predicate | proposedFutureStatusOfRemainingAreas |
P133153
|
FINISHED |
| Object | Arab-populated areas linked to Jordan |
—
|
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: Arab-populated areas linked to Jordan | Statement: [Allon Plan, proposedFutureStatusOfRemainingAreas, Arab-populated areas linked to Jordan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedFutureStatusOfRemainingAreas Context triple: [Allon Plan, proposedFutureStatusOfRemainingAreas, Arab-populated areas linked to Jordan]
-
A.
plannedArea
Indicates that an area is designated or intended for a specific planned use or development.
-
B.
promisedRegion
Indicates that one entity has pledged or guaranteed a specific region or territory to another entity.
-
C.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
D.
successorArea
Indicates that one area directly follows or replaces another area in a defined sequence, progression, or versioning of areas.
-
E.
regionTypePlanned
chosen
Indicates that a region is intended or designated to have a specific type or classification in a planned or future state.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 22, 2026, 9:05 a.m.