Triple
T5331615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont-Saint-Michel |
E123322
|
entity |
| Predicate | constructionOfAbbeyBegan |
P62868
|
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: [Mont-Saint-Michel, constructionOfAbbeyBegan, 10th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionOfAbbeyBegan Context triple: [Mont-Saint-Michel, constructionOfAbbeyBegan, 10th century]
-
A.
cathedralConstructionStarted
Indicates that the process of constructing a cathedral has begun.
-
B.
firstChapelBuilt
Indicates that the subject is the location or entity where the first chapel was constructed or established.
-
C.
abbeyDissolvedDuring
Indicates that an abbey ceased to exist or was formally disbanded during a specified time period or event.
-
D.
mainChurchBuilt
Indicates that the primary church associated with an entity was constructed or established at a particular time or by a particular agent.
-
E.
abbeyConsecrated
Indicates that an abbey has been formally dedicated and made sacred for religious use through a consecration ceremony.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85aab0308190990626cbc9da3e21 |
completed | March 20, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69bd84583dbc819088a03e3afb30178c |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8501d53c81908371bd5195ba5703 |
completed | March 20, 2026, 5:33 p.m. |
Created at: March 20, 2026, 2 p.m.