Triple
T35884483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Méline |
E1037601
|
entity |
| Predicate | hasNotableHistoricalUsage |
P193108
|
FINISHED |
| Object | 19th century France |
—
|
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: 19th century France | Statement: [Méline, hasNotableHistoricalUsage, 19th century France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableHistoricalUsage Context triple: [Méline, hasNotableHistoricalUsage, 19th century France]
-
A.
historicalPeriodOfNotableUse
chosen
Indicates the historical time period during which the entity was notably or most prominently used.
-
B.
hasHistoriographicalUse
Indicates that something is used or cited within historical writing or analysis as part of constructing, interpreting, or debating historical narratives.
-
C.
hasHistoricalMeaning
Indicates that something carries significance, symbolism, or relevance derived from past events, contexts, or traditions.
-
D.
hasHistoricalSignificance
Indicates that something possesses notable importance or influence within a historical context or period.
-
E.
historicallyUsedFor
Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
- 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_69f76e1f4d748190bb55594d8441d70e |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.