Triple
T13239398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Güell |
E315240
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Güell (Spanish) |
E315240
|
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: Güell (Spanish) | Statement: [Güell, hasNameInLanguage, Güell (Spanish)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Güell (Spanish) Context triple: [Güell, hasNameInLanguage, Güell (Spanish)]
-
A.
Güell
chosen
Güell is a river in the Catalonia region of northeastern Spain that flows through the city of Girona.
-
B.
Count of Güell
Count of Güell is a Spanish noble title best known for its association with industrialist Eusebi Güell, the patron of architect Antoni Gaudí and namesake of several of Barcelona’s most famous modernist landmarks.
-
C.
Puig
Puig is a Spanish surname most notably associated with Argentine novelist and screenwriter Manuel Puig, known for works like "Kiss of the Spider Woman."
-
D.
Ricard (Catalan)
Ricard (Catalan) is the Catalan form of the given name Richard, commonly used in Catalan-speaking regions.
-
E.
Mallorquí
Mallorquí is a regional variety of the Catalan language traditionally spoken in parts of the island of Mallorca, including the area around Manacor.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a38d09881909e8e3c32e9b1746e |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:23 p.m.