Triple
T8638121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didcot Power Station |
E204572
|
entity |
| Predicate | coolingTowerHeight |
P18664
|
FINISHED |
| Object | 114 metres |
—
|
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: 114 metres | Statement: [Didcot Power Station, coolingTowerHeight, 114 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coolingTowerHeight Context triple: [Didcot Power Station, coolingTowerHeight, 114 metres]
-
A.
hasCoolingTowerType
Indicates that an entity is associated with, or equipped with, a specific type or category of cooling tower.
-
B.
hasCoolingTowers
Indicates that an entity possesses or is equipped with one or more cooling towers as part of its infrastructure or system.
-
C.
hasTowerHeight
chosen
Indicates that an entity (such as a tower or structure) has a specific height value associated with it.
-
D.
heightOfChimney
Indicates the vertical measurement of a chimney from its base to its top.
-
E.
testTowerHeight
Indicates that an entity measures or evaluates the height of a tower.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:28 p.m.