Triple
T2028799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portlligat |
E44468
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Cadaqués
Cadaqués is a picturesque coastal town on Spain’s Costa Brava, renowned for its whitewashed houses, rocky coves, and association with artist Salvador Dalí.
|
E231249
|
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: Cadaqués | Statement: [Portlligat, near, Cadaqués]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cadaqués Context triple: [Portlligat, near, Cadaqués]
-
A.
Portbou
Portbou is a small coastal town in northeastern Catalonia, Spain, near the French border, known as the place where philosopher Walter Benjamin died while fleeing Nazi-occupied Europe.
-
B.
Cala d'Or
Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
-
C.
Cala Millor
Cala Millor is a popular resort town on the eastern coast of Mallorca, Spain, known for its long sandy beach and tourist amenities.
-
D.
Manresa
Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
-
E.
Pau-Ferro
Pau-Ferro is a neighborhood in the city of Recife, Brazil.
- 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: Cadaqués Triple: [Portlligat, near, Cadaqués]
Generated description
Cadaqués is a picturesque coastal town on Spain’s Costa Brava, renowned for its whitewashed houses, rocky coves, and association with artist Salvador Dalí.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cadaqués Target entity description: Cadaqués is a picturesque coastal town on Spain’s Costa Brava, renowned for its whitewashed houses, rocky coves, and association with artist Salvador Dalí.
-
A.
Portbou
Portbou is a small coastal town in northeastern Catalonia, Spain, near the French border, known as the place where philosopher Walter Benjamin died while fleeing Nazi-occupied Europe.
-
B.
Cala d'Or
Cala d'Or is a popular resort town on Mallorca’s southeastern coast, known for its sheltered coves, sandy beaches, and whitewashed, Ibizan-style architecture.
-
C.
Cala Millor
Cala Millor is a popular resort town on the eastern coast of Mallorca, Spain, known for its long sandy beach and tourist amenities.
-
D.
Manresa
Manresa is a historic city in Catalonia, Spain, known for its medieval architecture and significance as a religious and commercial center in the region.
-
E.
Pau-Ferro
Pau-Ferro is a neighborhood in the city of Recife, Brazil.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9136f888190b0fd03530e9eda1e |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae270d7740819084f67c5f92a9995d |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae27b2c9d08190b1950abd8d41d3b3 |
completed | March 9, 2026, 1:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2817ce3c81908e48170760cf98ef |
completed | March 9, 2026, 1:53 a.m. |
Created at: March 4, 2026, 7:38 p.m.