Triple
T8147582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Girona |
E190252
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | City of Girona |
E80146
|
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: City of Girona | Statement: [Province of Girona, contains, City of Girona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Girona Context triple: [Province of Girona, contains, City of Girona]
-
A.
Girona
chosen
Girona is a historic city in northeastern Catalonia, Spain, known for its well-preserved medieval architecture, walled Old Quarter, and prominent cathedral.
-
B.
Tortosa
Tortosa is a historic city in Catalonia, Spain, known for its medieval architecture and strategic location near the mouth of the Ebro River.
-
C.
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.
-
D.
Tàrrega
Tàrrega is a historic town in Catalonia, Spain, known for its cultural festivals and medieval heritage.
-
E.
Ciutat Vella
Ciutat Vella is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and major cultural landmarks.
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb447d6b1881908ff3fa25af6b4e80 |
completed | March 31, 2026, 3:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbedc48108190bcf98a82b9625250 |
completed | April 1, 2026, 6:44 a.m. |
Created at: March 30, 2026, 5:36 p.m.