Triple
T9925452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arak |
E187909
|
entity |
| Predicate | hasPowerFacility |
P65239
|
FINISHED |
| Object | industrial power plants |
—
|
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: industrial power plants | Statement: [Arak, hasPowerFacility, industrial power plants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPowerFacility Context triple: [Arak, hasPowerFacility, industrial power plants]
-
A.
hasPowerHouse
Indicates that one entity possesses or contains a primary energy-producing or central operational unit (a "power house") associated with it.
-
B.
powerplantFor
Indicates that one entity functions as the power plant or primary energy source serving another entity.
-
C.
includesPowerGeneration
chosen
Indicates that an entity encompasses or involves facilities, systems, or activities related to generating electrical or other forms of power.
-
D.
powerplantPower
Indicates that a power plant provides or generates a specified amount of electrical power.
-
E.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb599e32c8190ac676fa89c131bb6 |
completed | April 2, 2026, 12:17 a.m. |
| PD | Predicate disambiguation | batch_69cd1d90b8a8819081748f129c0c6ab6 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:43 p.m.