Triple
T9290513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Brava |
E223503
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Llafranc
Llafranc is a picturesque coastal village in Catalonia, Spain, known for its sandy beach, seafront promenade, and relaxed Mediterranean atmosphere.
|
E790644
|
NE FINISHED |
How this triple was built (4 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: Llafranc | Statement: [Costa Brava, contains, Llafranc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Llafranc Context triple: [Costa Brava, contains, Llafranc]
-
A.
Moianès
Moianès is a comarca (county) in central Catalonia, Spain, known for its rural landscapes, small historic towns, and karstic plateau terrain.
-
B.
Forcalquier
Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
-
C.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
D.
Gascón
Gascón is the surname of George Gascón, a Cuban-American lawyer and progressive prosecutor who has served as district attorney in major U.S. cities.
-
E.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Llafranc Triple: [Costa Brava, contains, Llafranc]
Generated description
Llafranc is a picturesque coastal village in Catalonia, Spain, known for its sandy beach, seafront promenade, and relaxed Mediterranean atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Llafranc Target entity description: Llafranc is a picturesque coastal village in Catalonia, Spain, known for its sandy beach, seafront promenade, and relaxed Mediterranean atmosphere.
-
A.
Moianès
Moianès is a comarca (county) in central Catalonia, Spain, known for its rural landscapes, small historic towns, and karstic plateau terrain.
-
B.
Forcalquier
Forcalquier is a historic Provençal town in southeastern France known for its medieval architecture, hilltop citadel, and traditional markets.
-
C.
Fages
Fages is a Spanish surname most notably associated with Pedro Fages, an 18th-century Spanish soldier and colonial administrator in California.
-
D.
Gascón
Gascón is the surname of George Gascón, a Cuban-American lawyer and progressive prosecutor who has served as district attorney in major U.S. cities.
-
E.
Noguès
Noguès is a French surname borne by various notable individuals, including figures in politics, arts, and sports.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69d0b3a2b6f481908b0528f6fa67535b |
completed | April 4, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0b7944adc819080b3a90878dd7203 |
completed | April 4, 2026, 7:02 a.m. |
Created at: March 30, 2026, 7:35 p.m.