Triple
T3767458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument historique (France) |
E82712
|
entity |
| Predicate | designationShortName |
P25216
|
FINISHED |
| Object | monument historique |
—
|
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: monument historique | Statement: [Monument historique (France), designationShortName, monument historique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designationShortName Context triple: [Monument historique (France), designationShortName, monument historique]
-
A.
designationFor
Indicates that one entity serves as the official title, label, or role name assigned to another entity.
-
B.
designationType
Indicates the specific category or kind of formal status, title, or label that has been assigned in a designation relationship.
-
C.
bearerShortName
chosen
Indicates that an entity serves as the short or abbreviated name used to identify the bearer in the context of a relationship or action.
-
D.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
E.
ownerAbbreviation
Indicates that one entity is an abbreviated or shortened form of the name or designation of another entity that owns or is primarily associated with it.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2bdf6c819088d3c6ace83ca5ea |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.