Triple
T12665318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue de la Roquette |
E302535
|
entity |
| Predicate | hasSideActivity |
P83680
|
FINISHED |
| Object | cafés |
—
|
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: cafés | Statement: [Rue de la Roquette, hasSideActivity, cafés]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSideActivity Context triple: [Rue de la Roquette, hasSideActivity, cafés]
-
A.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
-
B.
hasSubsidiaryActivity
chosen
Indicates that an entity carries out an additional, secondary activity alongside its main or primary activity.
-
C.
hasAct
Indicates that an entity performs, participates in, or is associated with a specific act or action.
-
D.
hasPopularActivity
Indicates that an entity is associated with an activity that is widely favored, frequently engaged in, or well-liked by many people.
-
E.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617e030881908444743b8a7e0d75 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b78ce8819091f15dd5013e6da5 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:19 p.m.