Triple
T18169717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naharayim/Baqura area |
E434991
|
entity |
| Predicate | powerPlantPurpose |
P130732
|
FINISHED |
| Object | generate electricity for Mandatory Palestine |
—
|
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: generate electricity for Mandatory Palestine | Statement: [Naharayim/Baqura area, powerPlantPurpose, generate electricity for Mandatory Palestine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerPlantPurpose Context triple: [Naharayim/Baqura area, powerPlantPurpose, generate electricity for Mandatory Palestine]
-
A.
powerplantRole
Indicates that one entity serves in a specific functional or operational role relative to a power plant.
-
B.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
C.
powerplantFor
Indicates that one entity functions as the power plant or primary energy source serving another entity.
-
D.
powerplantType
Indicates the specific kind or category of power plant associated with an entity, based on how it generates energy.
-
E.
powerplantPower
Indicates that a power plant provides or generates a specified amount of electrical power.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df555af081908a2f12bce6a13f56 |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:30 a.m.