Triple
T3767439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument historique (France) |
E82712
|
entity |
| Predicate | lowerProtectionLevel |
P14409
|
FINISHED |
| Object | inscrit 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: inscrit monument historique | Statement: [Monument historique (France), lowerProtectionLevel, inscrit monument historique]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowerProtectionLevel Context triple: [Monument historique (France), lowerProtectionLevel, inscrit monument historique]
-
A.
protectionLevel
chosen
Indicates the degree or extent to which something is safeguarded against harm, risk, or unauthorized access.
-
B.
lowerLevelUsedFor
Indicates that a lower-level component, resource, or abstraction is utilized to implement, support, or realize the functionality of a higher-level one.
-
C.
lowerRank
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
-
D.
lowerLocation
Indicates that one entity is located physically below or at a lower vertical position relative to another entity.
-
E.
lowerLimit
Indicates that one value serves as the minimum or smallest allowable bound or threshold for another value or range.
- 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.