Triple
T19791605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Mirabeau |
E475423
|
entity |
| Predicate | inscriptionCélèbre |
P44569
|
FINISHED |
| Object | « Sous le pont Mirabeau coule la Seine » |
—
|
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: « Sous le pont Mirabeau coule la Seine » | Statement: [Pont de Mirabeau, inscriptionCélèbre, « Sous le pont Mirabeau coule la Seine »]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inscriptionCélèbre Context triple: [Pont de Mirabeau, inscriptionCélèbre, « Sous le pont Mirabeau coule la Seine »]
-
A.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
B.
inscriptionBy
Indicates that an inscription was created, written, or carved by a particular agent or entity.
-
C.
inscriptionSupport
Indicates that one entity serves as the physical surface or material on which another entity (an inscription) is written, carved, or otherwise recorded.
-
D.
inscriptionFamousFor
chosen
Indicates that an inscription is widely recognized or notable specifically because of the referenced feature, event, content, or characteristic.
-
E.
inscriptionType
Indicates the specific kind or category of inscription associated with an entity (e.g., dedicatory, funerary, commemorative).
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c37a3c819080f195d58adaaa7b |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.