Triple
T19791606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Mirabeau |
E475423
|
entity |
| Predicate | renduCélèbrePar |
P137345
|
FINISHED |
| Object | poème « Le Pont Mirabeau » |
—
|
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: poème « Le Pont Mirabeau » | Statement: [Pont de Mirabeau, renduCélèbrePar, poème « Le Pont Mirabeau »]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renduCélèbrePar Context triple: [Pont de Mirabeau, renduCélèbrePar, poème « Le Pont Mirabeau »]
-
A.
notableCulturalFigure
Indicates that a person holds significant influence or recognition within a culture’s arts, traditions, values, or public life.
-
B.
namedForCulturalFigure
Indicates that one entity is named in honor of, or derived from the name of, a notable cultural figure.
-
C.
famousIndividual
Indicates that an individual is widely known and recognized by a large number of people, typically for notable achievements, status, or public visibility.
-
D.
organFamousFor
Indicates that an organ is widely recognized or notable for a particular characteristic, function, or association.
-
E.
eraOfFame
Indicates the time period during which an entity was most widely recognized, influential, or prominent.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:49 p.m.