Triple
T34853069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | fête des Filets Bleus |
E1004651
|
entity |
| Predicate | metEnAvant |
P181922
|
FINISHED |
| Object | patrimoine maritime de Concarneau |
—
|
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: patrimoine maritime de Concarneau | Statement: [fête des Filets Bleus, metEnAvant, patrimoine maritime de Concarneau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metEnAvant Context triple: [fête des Filets Bleus, metEnAvant, patrimoine maritime de Concarneau]
-
A.
metOn
Indicates that two or more entities encountered each other at the same time and place for the first time or for a particular meeting.
-
B.
metThrough
Indicates that two entities became acquainted or connected as a result of an intermediary person, event, platform, or context through which they first met.
-
C.
metBetween
Indicates that two or more entities had an in-person or virtual meeting or encounter with each other during a specified time or context.
-
D.
metrizes
Indicates that a given metric defines or induces the topology or structure on a space, making that metric compatible with and fully characterizing the space’s topological properties.
-
E.
metro
Indicates a relationship where an entity is associated with, located in, or served by a metropolitan transit system (such as a subway or urban rail network).
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 4 p.m.