Triple
T8487503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grote Kerk Dordrecht |
E200865
|
entity |
| Predicate | towerDesignHeight |
P41605
|
FINISHED |
| Object | approximately 108 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: approximately 108 metres | Statement: [Grote Kerk Dordrecht, towerDesignHeight, approximately 108 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: towerDesignHeight Context triple: [Grote Kerk Dordrecht, towerDesignHeight, approximately 108 metres]
-
A.
buildingHeight
chosen
Indicates the vertical extent or height measurement of a building.
-
B.
towerName
Indicates the specific name assigned to a tower in the relationship.
-
C.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
D.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
-
E.
towerCount
Indicates the number of towers associated with or present in a given entity or context.
- 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_69ca831d7b148190a6e32c1de43ab13b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe556b5188190b1124effd7445803 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:13 p.m.