Triple
T14762732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orihuela |
E346909
|
entity |
| Predicate | hasSubdivisions |
P747
|
FINISHED |
| Object |
Orihuela Costa
Orihuela Costa is a popular coastal resort area on Spain’s Costa Blanca, known for its beaches, golf courses, and holiday developments.
|
E346909
|
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: Orihuela Costa | Statement: [Orihuela, hasSubdivisions, Orihuela Costa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orihuela Costa Context triple: [Orihuela, hasSubdivisions, Orihuela Costa]
-
A.
Orihuela
Orihuela is a historic city in southeastern Spain known for its rich medieval heritage, religious architecture, and role as a regional cultural center.
-
B.
Benalmádena
Benalmádena is a coastal resort town on Spain’s Costa del Sol, known for its beaches, marina, and tourist attractions near Málaga.
-
C.
Estepona
Estepona is a coastal resort town on Spain’s Costa del Sol, known for its Mediterranean beaches, marina, and whitewashed old town.
-
D.
Alhué
Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
-
E.
Jerez de García Salinas
Jerez de García Salinas is a historic colonial town and important agricultural and cultural center in the Mexican state of Zacatecas.
- 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: Orihuela Costa Triple: [Orihuela, hasSubdivisions, Orihuela Costa]
Generated description
Orihuela Costa is a popular coastal resort area on Spain’s Costa Blanca, known for its beaches, golf courses, and holiday developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orihuela Costa Target entity description: Orihuela Costa is a popular coastal resort area on Spain’s Costa Blanca, known for its beaches, golf courses, and holiday developments.
-
A.
Orihuela
chosen
Orihuela is a historic city in southeastern Spain known for its rich medieval heritage, religious architecture, and role as a regional cultural center.
-
B.
Benalmádena
Benalmádena is a coastal resort town on Spain’s Costa del Sol, known for its beaches, marina, and tourist attractions near Málaga.
-
C.
Estepona
Estepona is a coastal resort town on Spain’s Costa del Sol, known for its Mediterranean beaches, marina, and whitewashed old town.
-
D.
Alhué
Alhué is a rural commune and town in central Chile known for its agricultural activities and traditional countryside character within the Santiago Metropolitan Region.
-
E.
Jerez de García Salinas
Jerez de García Salinas is a historic colonial town and important agricultural and cultural center in the Mexican state of Zacatecas.
- F. None of above.
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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f3a1608190b1b17624003a0c7f |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bc5532881909f3bab83dca8f295 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8da1c7f08190b797b2f4fd2f3ca0 |
completed | May 9, 2026, 1:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8ded74b88190ad86ce2536e4357d |
completed | May 9, 2026, 1:29 a.m. |
Created at: April 10, 2026, 1:30 a.m.