Triple
T8773593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cochin International Airport |
E208522
|
entity |
| Predicate | solarPowerPlant |
P9904
|
FINISHED |
| Object | ground-mounted solar photovoltaic plant |
—
|
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: ground-mounted solar photovoltaic plant | Statement: [Cochin International Airport, solarPowerPlant, ground-mounted solar photovoltaic plant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solarPowerPlant Context triple: [Cochin International Airport, solarPowerPlant, ground-mounted solar photovoltaic plant]
-
A.
powerplant
chosen
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
B.
powerplantPower
Indicates that a power plant provides or generates a specified amount of electrical power.
-
C.
powerplantFor
Indicates that one entity functions as the power plant or primary energy source serving another entity.
-
D.
powerplantOutput
Indicates the amount of energy or power produced by a power plant over a given period or at a specific moment.
-
E.
powerPlantName
Indicates the specific name assigned to a power plant.
- 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_69ca835edb4481909b4aafb616dc5eb7 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f2dc87c8190be0597a260d95a0b |
completed | March 31, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69cc5c1aff3881908be6a9cbc9f50461 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:41 p.m.