Triple
T34431729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pompeu |
E883844
|
entity |
| Predicate | nameStatusInCatalan |
P19196
|
FINISHED |
| Object | traditional but uncommon |
—
|
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: traditional but uncommon | Statement: [Pompeu, nameStatusInCatalan, traditional but uncommon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameStatusInCatalan Context triple: [Pompeu, nameStatusInCatalan, traditional but uncommon]
-
A.
hasNameInCatalan
Indicates that an entity is associated with a specific name expressed in the Catalan language.
-
B.
hasNameInValencian
Indicates that an entity has a specific name or designation when expressed in the Valencian language.
-
C.
officialNameInCatalan
Indicates the officially recognized name of an entity when expressed in the Catalan language.
-
D.
nameStatus
chosen
Indicates the status or condition associated with an entity’s name, such as whether it is current, preferred, alternate, or deprecated.
-
E.
nameInAragonese
Indicates the name or designation of an entity expressed in the Aragonese language.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.