Triple
T4035900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terra Alta |
E83825
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Baix Camp |
E389596
|
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: Baix Camp | Statement: [Terra Alta, borderedBy, Baix Camp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baix Camp Context triple: [Terra Alta, borderedBy, Baix Camp]
-
A.
Baix Camp
chosen
Baix Camp is a coastal comarca in the province of Tarragona, Catalonia, Spain, known for its capital Reus and its mix of Mediterranean coastline and inland agricultural areas.
-
B.
Berguedà
Berguedà is a mountainous comarca in central Catalonia, Spain, known for its Pyrenean landscapes, rural villages, and natural parks.
-
C.
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.
-
D.
Empordà
Empordà is a historic coastal region in northeastern Catalonia, Spain, known for its medieval villages, Mediterranean landscapes, and strong cultural ties to the artist Salvador Dalí.
-
E.
Sant Boi de Llobregat
Sant Boi de Llobregat is a municipality in the metropolitan area of Barcelona, Catalonia, known for its residential character, historical sites, and integration into the region’s public transport network.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb132f6c8190937acd35a6a5a9e4 |
completed | March 9, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f15f0088190b2ec453183f0ca7f |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:36 p.m.