Triple
T24167025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josep Tarradellas Barcelona–El Prat Airport |
E599016
|
entity |
| Predicate | renamedInHonorOfJosepTarradellas |
P50138
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Josep Tarradellas Barcelona–El Prat Airport, renamedInHonorOfJosepTarradellas, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: renamedInHonorOfJosepTarradellas Context triple: [Josep Tarradellas Barcelona–El Prat Airport, renamedInHonorOfJosepTarradellas, 2019]
-
A.
changedNameInHonorOf
chosen
Indicates that an entity altered its name specifically to honor or pay tribute to another entity.
-
B.
officialNameInCatalan
Indicates the officially recognized name of an entity when expressed in the Catalan language.
-
C.
wasElectedKingOfAragonBy
Indicates that a person attained the position of King of Aragon through an election conducted by a specified group or authority.
-
D.
historicalNameInSpanish
Indicates that an entity is known or referred to by a particular historical name when expressed in the Spanish language.
-
E.
renamedDuringReignOf
Indicates that an entity received a new name while a specified ruler or authority was in power.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.