Triple
T9290508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Brava |
E223503
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Tossa de Mar |
E682552
|
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: Tossa de Mar | Statement: [Costa Brava, contains, Tossa de Mar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tossa de Mar Context triple: [Costa Brava, contains, Tossa de Mar]
-
A.
Tossa de Mar
chosen
Tossa de Mar is a picturesque coastal town on Spain’s Costa Brava, known for its medieval walled old town, sandy beaches, and historic role as a scenic backdrop in classic cinema.
-
B.
Terrassa
Terrassa is a city in Catalonia, Spain, known as part of the Barcelona metropolitan area and for its industrial heritage and modernist architecture.
-
C.
Cala Fustam
Cala Fustam is a small, secluded cove with clear turquoise waters and sandy shores on the south coast of Menorca in Spain’s Balearic Islands.
-
D.
La Pintana
La Pintana is a commune in the Santiago Metropolitan Region of Chile, known for its predominantly residential character and significant social and urban development challenges.
-
E.
Far de la Mola
Far de la Mola is a historic cliff-top lighthouse on the eastern end of Formentera, Spain, known for its dramatic sea views and literary associations with Jules Verne.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0865a7108190b807afd259980db2 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2381e2c8190acbecf97dea1200c |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:35 p.m.