Triple
T9293718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Púbol |
E223584
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | La Pera |
E223585
|
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: La Pera | Statement: [Púbol, partOf, La Pera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Pera Context triple: [Púbol, partOf, La Pera]
-
A.
La Pera
chosen
La Pera is a small municipality in Catalonia, Spain, best known for housing the Castle of Púbol, once owned by surrealist artist Salvador Dalí and his wife Gala.
-
B.
La Panza
La Panza is one of the principal summits of the Iztaccíhuatl volcano in central Mexico, known for its distinctive “belly” shape along the mountain’s profile.
-
C.
La Pelona
La Pelona is one of the highest mountain peaks in the Dominican Republic, located within the Cordillera Central range.
-
D.
La Pelona
La Pelona is a volcanic peak in the Dominican Republic that forms part of the San Cristóbal region’s volcanic landscape.
-
E.
Lo Spagnoletto
Lo Spagnoletto is the Italian nickname of Jusepe de Ribera, a prominent 17th-century Spanish Tenebrist painter and printmaker active mainly in Naples.
- 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_69ca8423edb08190bc0c91287a484768 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0898b3288190a627a58bfd9c57fe |
completed | April 1, 2026, 11:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c766fb408190a9f073f033652b6f |
completed | April 4, 2026, 8:10 a.m. |
Created at: March 30, 2026, 7:35 p.m.