Triple
T12320190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rocher Saint-Michel d’Aiguilhe |
E293706
|
entity |
| Predicate | constructionCenturyOfChapel |
P6333
|
FINISHED |
| Object | 10th century |
—
|
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: 10th century | Statement: [Rocher Saint-Michel d’Aiguilhe, constructionCenturyOfChapel, 10th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionCenturyOfChapel Context triple: [Rocher Saint-Michel d’Aiguilhe, constructionCenturyOfChapel, 10th century]
-
A.
parishChurchCentury
Indicates the century during which a given parish church was established, built, or primarily dates from.
-
B.
constructionCentury
chosen
Indicates the century during which something was constructed or built.
-
C.
firstChapelBuilt
Indicates that the subject is the location or entity where the first chapel was constructed or established.
-
D.
containsBuildingFromCentury
Indicates that a location or area includes at least one building that originates from a specified century.
-
E.
churchConstructionDate
Indicates the date on which a church was constructed or originally built.
- 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.