Triple
T13325958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Daurada |
E317441
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Altafulla
Altafulla is a coastal town in Catalonia, Spain, known for its historic old quarter, sandy beaches, and well-preserved Roman and medieval heritage.
|
E1034423
|
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: Altafulla | Statement: [Costa Daurada, hasTown, Altafulla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altafulla Context triple: [Costa Daurada, hasTown, Altafulla]
-
A.
Albayzín
Albayzín is the historic Moorish quarter of Granada, Spain, known for its narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
-
B.
Alcaufar
Alcaufar is a small coastal village and beach resort on the southeastern coast of Menorca in Spain, known for its sheltered bay and tranquil atmosphere.
-
C.
Maragall
Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
-
D.
Balazote
Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
-
E.
Madarihat
Madarihat is a small town in West Bengal, India, known primarily as the main gateway and service hub for visitors to Jaldapara National Park.
- 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: Altafulla Triple: [Costa Daurada, hasTown, Altafulla]
Generated description
Altafulla is a coastal town in Catalonia, Spain, known for its historic old quarter, sandy beaches, and well-preserved Roman and medieval heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Altafulla Target entity description: Altafulla is a coastal town in Catalonia, Spain, known for its historic old quarter, sandy beaches, and well-preserved Roman and medieval heritage.
-
A.
Albayzín
Albayzín is the historic Moorish quarter of Granada, Spain, known for its narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
-
B.
Alcaufar
Alcaufar is a small coastal village and beach resort on the southeastern coast of Menorca in Spain, known for its sheltered bay and tranquil atmosphere.
-
C.
Maragall
Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
-
D.
Balazote
Balazote is a municipality in the province of Albacete, Spain, known for its archaeological heritage and rural Castilian-La Mancha setting.
-
E.
Madarihat
Madarihat is a small town in West Bengal, India, known primarily as the main gateway and service hub for visitors to Jaldapara National Park.
- 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9992d3b0881909732fbb8db98e44c |
completed | April 11, 2026, 12:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2f69a88190b11e61a922786fc4 |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f71fe2c128819096cc31c9cbb739b5 |
completed | May 3, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7208d47388190b1b51f346b0d1423 |
completed | May 3, 2026, 10:16 a.m. |
Created at: April 9, 2026, 9:30 p.m.