Triple
T9173373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Castellón |
E220134
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Benicarló |
E499080
|
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: Benicarló | Statement: [Province of Castellón, contains, Benicarló]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benicarló Context triple: [Province of Castellón, contains, Benicarló]
-
A.
Benicarló
chosen
Benicarló is a coastal town in the province of Castellón, Spain, known for its Mediterranean beaches, agricultural production (especially artichokes), and historic old quarter.
-
B.
Gandesa
Gandesa is a historic town in Catalonia, Spain, known for its wine production and role in the Battle of the Ebro during the Spanish Civil War.
-
C.
Sant Celoni
Sant Celoni is a town in Catalonia, Spain, located northeast of Barcelona in the Vallès Oriental comarca, known as a local commercial and transport hub between the Montseny and Montnegre natural areas.
-
D.
Banyoles
Banyoles is a town in Catalonia, Spain, best known for its large natural lake and scenic surroundings.
-
E.
Ampurias
Ampurias (Empúries) was an ancient Greek and later Roman coastal settlement in northeastern Spain that became an important trading hub in the western Mediterranean.
- 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccbfa128d48190b54b8f95d77d81cc |
completed | April 1, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b7f95f88190af9c88105abb2964 |
completed | April 4, 2026, 5:02 a.m. |
Created at: March 30, 2026, 7:22 p.m.