Triple
T1113435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notre Dame du Haut, Ronchamp |
E11041
|
entity |
| Predicate | hasOutdoorSpaceFor |
P8618
|
FINISHED |
| Object | large pilgrimage crowds |
—
|
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: large pilgrimage crowds | Statement: [Notre Dame du Haut, Ronchamp, hasOutdoorSpaceFor, large pilgrimage crowds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorSpaceFor Context triple: [Notre Dame du Haut, Ronchamp, hasOutdoorSpaceFor, large pilgrimage crowds]
-
A.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
B.
isOutdoor
chosen
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
C.
hasPedestrianArea
Indicates that a location or zone includes a designated area intended for pedestrian use only or primarily.
-
D.
hasBalcony
Indicates that a building or dwelling includes a balcony as part of its structure or features.
-
E.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
- 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_69a493252a648190ac48f8742474a5e8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.