Triple
T26748802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Thoronet |
E674475
|
entity |
| Predicate | mainAbbeyConstructionCentury |
P113560
|
FINISHED |
| Object | 12th 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: 12th century | Statement: [Le Thoronet, mainAbbeyConstructionCentury, 12th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainAbbeyConstructionCentury Context triple: [Le Thoronet, mainAbbeyConstructionCentury, 12th century]
-
A.
abbeyOriginCentury
chosen
Indicates the century in which an abbey was originally founded or established.
-
B.
abbeyFoundedInYearApprox
Indicates that an abbey was founded around an approximate year, rather than on a precisely known date.
-
C.
constructionOfAbbeyBegan
Indicates that the process of building or establishing an abbey was initiated.
-
D.
cathedralMainConstructionCentury
Indicates the century during which the primary phase of a cathedral’s construction took place.
-
E.
parishChurchCentury
Indicates the century during which a given parish church was established, built, or primarily dates from.
- 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_69eecda63a3881908095c47900692e65 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 3:52 a.m.