Triple
T5353848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayswater Power Station |
E102641
|
entity |
| Predicate | hasUnitCount |
P19248
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Bayswater Power Station, hasUnitCount, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnitCount Context triple: [Bayswater Power Station, hasUnitCount, 4]
-
A.
numberOfUnits
chosen
Indicates the quantity or count of discrete units associated with an entity or relationship.
-
B.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
-
C.
hasUnitStatus
Indicates that an entity is associated with a particular operational or condition status as a unit.
-
D.
hasUnitNumber
Indicates that an entity is associated with a specific unit identifier or number within a larger building, complex, or organizational structure.
-
E.
hasSeparateUnit
Indicates that one entity exists or is treated as an independent, distinct unit from another entity.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86149774819084049a8785e3f2e0 |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.