Triple
T9583074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Empordà |
E231220
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object | L’Escala |
E790645
|
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: L’Escala | Statement: [Empordà, majorTown, L’Escala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L’Escala Context triple: [Empordà, majorTown, L’Escala]
-
A.
L’Escala
chosen
L’Escala is a coastal town in northeastern Catalonia, Spain, known for its beaches, fishing heritage, and famous anchovy production.
-
B.
Le Suquet
Le Suquet is the historic old quarter of Cannes, known for its steep cobbled streets, medieval architecture, and panoramic views over the city and harbor.
-
C.
Seix Barral
Seix Barral is a renowned Spanish publishing house known for its influential role in promoting contemporary literature in the Spanish-speaking world.
-
D.
Ontinyent
Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
-
E.
Gironella
Gironella is a small municipality in Catalonia, Spain, known for its historic textile industry and location along the Llobregat River.
- 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_69ca848161688190a68d514a0a9d5129 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99cebaf081908033536a53fbf668 |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16176ccf081908eb079ddd762ba28 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.