Triple
T35997391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cathédrale Notre-Dame de Coutances |
E1041024
|
entity |
| Predicate | hasParvis |
P201370
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Cathédrale Notre-Dame de Coutances, hasParvis, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasParvis Context triple: [Cathédrale Notre-Dame de Coutances, hasParvis, yes]
-
A.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
B.
hasPromenade
Indicates that one entity features or includes a promenade, typically as a designated walkway or leisure area associated with it.
-
C.
hasParterre
Indicates that one entity includes or is associated with a parterre (a formal, patterned garden area) as part of its layout or design.
-
D.
hasPavilion
Indicates that one entity possesses, includes, or is associated with a pavilion as part of its structure, property, or facilities.
-
E.
hasPilotis
Indicates that a building or structure is elevated on pilotis (supporting columns or stilts), rather than resting directly on the ground.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffed8912488190baa05f572e5b1b89 |
completed | May 10, 2026, 2:29 a.m. |
| PD | Predicate disambiguation | batch_69ffed12a76c8190ad85c6ac869c72e9 |
completed | May 10, 2026, 2:27 a.m. |
| PDg | Predicate description generation | batch_69ffed884b908190b12422c790b1525e |
completed | May 10, 2026, 2:29 a.m. |
Created at: May 3, 2026, 4:07 p.m.