Triple
T1180342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GPON |
E25120
|
entity |
| Predicate | powerRequirementInOutsidePlant |
P24957
|
FINISHED |
| Object | none (passive) |
—
|
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: none (passive) | Statement: [GPON, powerRequirementInOutsidePlant, none (passive)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: powerRequirementInOutsidePlant Context triple: [GPON, powerRequirementInOutsidePlant, none (passive)]
-
A.
powerplantFor
Indicates that one entity functions as the power plant or primary energy source serving another entity.
-
B.
powerDependsOn
Indicates that the power or effectiveness of one entity is contingent upon, or influenced by, another entity.
-
C.
suppliesPowerTo
Indicates that one entity provides electrical or energy power required for the operation or functioning of another entity.
-
D.
maximumPowerDuringOperation
Indicates the highest level of power that occurs while the system or component is operating.
-
E.
powerBudget
Indicates the allocated or allowable amount of power that can be used or consumed by an entity or system within specified limits.
- 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_69a494267b4c819088c97a59182bf56a |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd32c5f48190b4e2d39fa052cbb7 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb59ca6c81908597a81646674aaa |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bc6d5b7881908091e40c8695ef53 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:45 p.m.