Triple
T16174521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cité de Carcassonne |
E392526
|
entity |
| Predicate | restorationStartDecade |
P23768
|
FINISHED |
| Object | 1850s |
—
|
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: 1850s | Statement: [Cité de Carcassonne, restorationStartDecade, 1850s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: restorationStartDecade Context triple: [Cité de Carcassonne, restorationStartDecade, 1850s]
-
A.
reconstructionOrRestorationDate
Indicates the date on which an entity was reconstructed or restored after damage, alteration, or deterioration.
-
B.
reconstructionStartYear
chosen
Indicates the calendar year in which a reconstruction process or project began.
-
C.
excavationStartDecade
Indicates the decade during which the excavation of an entity or site began.
-
D.
reclamationStartCentury
Indicates the century in which a reclamation process or project began.
-
E.
restorationBeganWith
Indicates that the initiation of a restoration process started with or was triggered by a specified prior event, action, or condition.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21ebab54c81908d82dd6a26c406c2 |
completed | April 17, 2026, 11:51 a.m. |
| PD | Predicate disambiguation | batch_69e219d642708190ba31a90dce76a210 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:02 a.m.