Triple
T6023173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Bene't's Church, Cambridge |
E134111
|
entity |
| Predicate | towerDateApproximation |
P59976
|
FINISHED |
| Object | 11th century |
—
|
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: 11th century | Statement: [St Bene't's Church, Cambridge, towerDateApproximation, 11th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerDateApproximation Context triple: [St Bene't's Church, Cambridge, towerDateApproximation, 11th century]
-
A.
towerDatingFrom
chosen
Indicates that a tower originates from, or was constructed in, a specified time period or date.
-
B.
towerLocation
Indicates that a tower is located at, or associated with, a specific place or geographic location.
-
C.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
D.
towerCount
Indicates the number of towers associated with or present in a given entity or context.
-
E.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fbd7978819085d683578bc62aa3 |
completed | March 22, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.