Triple
T9444880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEAT Tarraco |
E227738
|
entity |
| Predicate | unveiledAt |
P8259
|
FINISHED |
| Object | Tarragona, Spain |
E80788
|
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: Tarragona, Spain | Statement: [SEAT Tarraco, unveiledAt, Tarragona, Spain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarragona, Spain Context triple: [SEAT Tarraco, unveiledAt, Tarragona, Spain]
-
A.
Martorell, Spain
Martorell, Spain is a town in Catalonia best known as a major automotive manufacturing hub and home to SEAT’s main production plant.
-
B.
El Masnou, Spain
El Masnou, Spain is a coastal town in the province of Barcelona, Catalonia, known for its Mediterranean beaches and marina.
-
C.
Tarragona
chosen
Tarragona is a historic port city in northeastern Spain, renowned for its well-preserved Roman ruins and status as a major cultural and economic center in Catalonia.
-
D.
Granollers, Spain
Granollers, Spain is a town in the province of Barcelona, Catalonia, known as an industrial and commercial center near the Montmeló Circuit de Barcelona-Catalunya.
-
E.
Castellón, Spain
Castellón is a coastal city in eastern Spain’s Valencian Community, known for its Mediterranean beaches, historic old town, and proximity to the Prime Meridian.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7f32aee88190a43573f97fa1e49d |
completed | April 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110669ca48190bbaf772e2e6aa457 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:51 p.m.