Triple
T9441556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sainte-Catherine Church |
E227656
|
entity |
| Predicate | hasSeparateStructure |
P36985
|
FINISHED |
| Object | wooden bell tower on adjacent square |
—
|
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: wooden bell tower on adjacent square | Statement: [Sainte-Catherine Church, hasSeparateStructure, wooden bell tower on adjacent square]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeparateStructure Context triple: [Sainte-Catherine Church, hasSeparateStructure, wooden bell tower on adjacent square]
-
A.
hasSeparateUnit
chosen
Indicates that one entity exists or is treated as an independent, distinct unit from another entity.
-
B.
hasTwoPartStructure
Indicates that something is composed of exactly two distinct, structured parts that together form a whole.
-
C.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
D.
hasExtendedStructure
Indicates that an entity possesses an additional or elongated structural component beyond its basic or standard form.
-
E.
hasStructureAbove
Indicates that one entity has another entity positioned vertically higher or located on top of it within a structural or spatial arrangement.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| PD | Predicate disambiguation | batch_69cca55548488190b171ae695a3212de |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:50 p.m.