Triple
T10742321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nou Camp |
E253357
|
entity |
| Predicate | architect |
P184
|
FINISHED |
| Object | Lorenzo García Barbón |
E314378
|
NE 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: Lorenzo García Barbón | Statement: [Nou Camp, architect, Lorenzo García Barbón]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lorenzo García Barbón Context triple: [Nou Camp, architect, Lorenzo García Barbón]
-
A.
Lorenzo García-Barbón
chosen
Lorenzo García-Barbón is a Spanish architect best known for his role in designing FC Barcelona’s iconic Camp Nou stadium.
-
B.
Lorenzo Daza
Lorenzo Daza is a character in Gabriel García Márquez’s novel "Love in the Time of Cholera," known as the ambitious and socially aspiring father of Fermina Daza.
-
C.
Gonzalo García Barcha
Gonzalo García Barcha is a Colombian-Mexican film editor and son of Nobel Prize–winning writer Gabriel García Márquez and Mercedes Barcha.
-
D.
Antonio Rebollo
Antonio Rebollo is a Spanish Paralympic archer best known for dramatically lighting the Olympic cauldron with a flaming arrow during the opening ceremony of the 1992 Barcelona Games.
-
E.
Fernando García
Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710456ec88190ad8aff8804d13aa9 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49c59538081909102a6954f564e46 |
completed | May 1, 2026, 12:28 p.m. |
Created at: April 8, 2026, 9:15 p.m.