Triple
T3238732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fête de la Fédération |
E67916
|
entity |
| Predicate | preparationInvolved |
P47540
|
FINISHED |
| Object | massive earthworks by Parisian volunteers |
—
|
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: massive earthworks by Parisian volunteers | Statement: [Fête de la Fédération, preparationInvolved, massive earthworks by Parisian volunteers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparationInvolved Context triple: [Fête de la Fédération, preparationInvolved, massive earthworks by Parisian volunteers]
-
A.
preparesFor
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
B.
preparationPeriod
Indicates the time span allocated before an event or action during which necessary preparations are made.
-
C.
preparationSupervisedBy
Indicates that the preparation of something is carried out under the oversight or direction of a supervising entity.
-
D.
typicalPreparation
Indicates the usual or standard way in which something is prepared or made.
-
E.
preparationPreference
Indicates how an entity prefers something to be prepared, processed, or made ready (e.g., style, method, or conditions of preparation).
- 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef3b04081908ce9b788e2e5c63c |
completed | March 8, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69ada4159e0481908cbbdd750f5e08c7 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada698eeb48190a1f5762fdd3b7b63 |
completed | March 8, 2026, 4:40 p.m. |
Created at: March 8, 2026, 3:08 p.m.