Triple
T14299153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza de la Virgen |
E354515
|
entity |
| Predicate | locatedInOldTown |
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: [Plaza de la Virgen, locatedInOldTown, Ciutat Vella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciutat Vella Context triple: [Plaza de la Virgen, locatedInOldTown, 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.
Lleida old quarter
Lleida old quarter is the historic center of Lleida, Spain, characterized by its medieval streets, heritage buildings, and cultural landmarks.
-
C.
Girona Barri Vell
Girona Barri Vell is the historic old town of Girona, Spain, known for its medieval architecture, narrow cobbled streets, and well-preserved landmarks.
-
D.
Barri Vell
Barri Vell is the historic old quarter of Girona, known for its medieval streets, ancient city walls, and well-preserved architectural heritage.
-
E.
Ciutat Vella district
Ciutat Vella district is Barcelona’s historic city center, known for its medieval streets, Gothic architecture, and dense concentration of cultural and tourist 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717e246c819083e67ac2b3b77881 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2697648190beade47df424a9e5 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.