Triple
T17564567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Andrew's Church, Penrith |
E427774
|
entity |
| Predicate | towerDominates |
P127986
|
FINISHED |
| Object | Penrith skyline |
—
|
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: Penrith skyline | Statement: [St Andrew's Church, Penrith, towerDominates, Penrith skyline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerDominates Context triple: [St Andrew's Church, Penrith, towerDominates, Penrith skyline]
-
A.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
B.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
C.
tower
Indicates that one entity is a tall, prominent structure rising above its surroundings, often used for observation, support, or communication.
-
D.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
E.
towerCount
Indicates the number of towers associated with or present in a given entity or context.
- F. None of above. chosen
Provenance (4 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592bde448190bf5ed2340440e2b7 |
completed | April 19, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.