Triple
T12320200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocher Saint-Michel d’Aiguilhe |
E293706
|
entity |
| Predicate | hasDecorativeElementsOnChapel |
P60590
|
FINISHED |
| Object | polychrome stonework |
—
|
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: polychrome stonework | Statement: [Rocher Saint-Michel d’Aiguilhe, hasDecorativeElementsOnChapel, polychrome stonework]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDecorativeElementsOnChapel Context triple: [Rocher Saint-Michel d’Aiguilhe, hasDecorativeElementsOnChapel, polychrome stonework]
-
A.
hasChapelDecoration
chosen
Indicates that a chapel possesses or features a particular decorative element or ornamentation.
-
B.
hasChapelStyle
Indicates that a chapel possesses or is characterized by a particular architectural or stylistic design.
-
C.
hasChapelUse
Indicates that something is used, designated, or functions as a chapel or for chapel-related purposes.
-
D.
hasChapels
Indicates that one entity contains, includes, or is associated with one or more chapels.
-
E.
hasChapelCountApprox
Indicates an approximate number of chapels associated with an 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec5be788190b82d2edc6a0f1095 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.