Triple
T2821345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palau Güell |
E54816
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Ciutat Vella |
E244165
|
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: Ciutat Vella | Statement: [Palau Güell, locatedIn, Ciutat Vella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciutat Vella Context triple: [Palau Güell, locatedIn, Ciutat Vella]
-
A.
Ciutat Vella
chosen
Ciutat Vella is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and major cultural landmarks.
-
B.
Sant Joan Despí
Sant Joan Despí is a municipality in the Baix Llobregat comarca near Barcelona, Spain, known for its modernist architecture and role as a residential and industrial suburb of the Catalan capital.
-
C.
Ciudad Vieja
Ciudad Vieja is the historic old town of Montevideo, Uruguay, known for its colonial architecture, cultural landmarks, and vibrant portside atmosphere.
-
D.
Sant Antoni de Portmany
Sant Antoni de Portmany is a coastal town on the Spanish island of Ibiza, known for its vibrant nightlife, beaches, and sunset views.
-
E.
Albaicín
Albaicín is Granada’s historic Moorish quarter, known for its narrow winding streets, whitewashed houses, and panoramic views of the Alhambra.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde704af88190a132626acc99745f |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afcea809e48190b22f25a3c8c1acdd |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.