Triple
T33503504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Premi d’Honor de les Lletres Catalanes |
E858055
|
entity |
| Predicate | hasAwardingPeriod |
P24525
|
FINISHED |
| Object | Francoist Spain |
—
|
NE NERFINISHED |
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: Francoist Spain | Statement: [Premi d’Honor de les Lletres Catalanes, hasAwardingPeriod, Francoist Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAwardingPeriod Context triple: [Premi d’Honor de les Lletres Catalanes, hasAwardingPeriod, Francoist Spain]
-
A.
hasAwardPeriod
chosen
Indicates the time span or date range during which an award is valid, active, or applicable.
-
B.
isAwardedWithin
Indicates that an award or recognition is granted to an entity within a specified context, scope, or time frame.
-
C.
hasCountingPeriod
Indicates that there is a defined time span or interval over which occurrences, quantities, or measurements related to an entity are counted or aggregated.
-
D.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fb19063c81909466b329655c8583 |
completed | May 3, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f6f96badb08190994442c2aba840b1 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:38 a.m.