Triple
T26025325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allon Plan |
E647273
|
entity |
| Predicate | proposedToRetain |
P166603
|
FINISHED |
| Object | Jordan Valley |
—
|
NE NERFINISHED |
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: Jordan Valley | Statement: [Allon Plan, proposedToRetain, Jordan Valley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedToRetain Context triple: [Allon Plan, proposedToRetain, Jordan Valley]
-
A.
retained
Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
-
B.
mustRetain
Indicates that an entity is required to keep or preserve another entity and is not allowed to discard, delete, or release it.
-
C.
canRetain
Indicates that one entity has the ability or permission to keep, hold, or maintain possession or control of another entity over time.
-
D.
retentionMethod
Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
-
E.
isKeptFor
Indicates that one entity is retained or preserved for the benefit, use, or purpose of another entity.
- F. None of above. chosen
Provenance (4 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_69f662a29b3881909957a7e3b986653c |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 22, 2026, 9:05 a.m.