Triple
T18181184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portsmouth waterfront skyline |
E435286
|
entity |
| Predicate | dominantStructureHeight |
P44247
|
FINISHED |
| Object | Spinnaker Tower 170 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: Spinnaker Tower 170 metres | Statement: [Portsmouth waterfront skyline, dominantStructureHeight, Spinnaker Tower 170 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dominantStructureHeight Context triple: [Portsmouth waterfront skyline, dominantStructureHeight, Spinnaker Tower 170 metres]
-
A.
structureHeight
chosen
Indicates that a structure has a specific vertical measurement or height.
-
B.
dominantStructure
Indicates that one structure exerts primary control, influence, or prominence over other related structures within a given context.
-
C.
buildingHeight
Indicates the vertical extent or height measurement of a building.
-
D.
towerDominates
Indicates that one tower stands out over another or its surroundings in a commanding or visually overpowering way.
-
E.
architecturalHeight
Indicates the measured vertical extent of a structure based on its architectural design, typically from the lowest significant level to the highest architecturally integral point, excluding non-architectural elements like antennas or masts.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dffb3bc88190a627be9c444d5c7d |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.