Triple
T13721833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern Spain |
E329055
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Fuengirola |
E662134
|
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: Fuengirola | Statement: [Southern Spain, hasCity, Fuengirola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fuengirola Context triple: [Southern Spain, hasCity, Fuengirola]
-
A.
Fuengirola
chosen
Fuengirola is a popular coastal resort town on Spain’s Costa del Sol, known for its long sandy beaches, tourism infrastructure, and proximity to Málaga.
-
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.
Salobreña
Salobreña is a picturesque coastal town on Spain’s Costa Tropical, known for its whitewashed hillside houses and hilltop Moorish castle overlooking the Mediterranean Sea.
-
D.
Málaga
Málaga is a historic port city on Spain’s Costa del Sol, renowned for its Mediterranean beaches, rich Andalusian culture, and as the birthplace of artist Pablo Picasso.
-
E.
Torremolinos
Torremolinos is a popular seaside resort town on Spain’s Costa del Sol, known for its beaches, nightlife, and tourism-focused economy.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f3b46481909ceedfa78e9ca92b |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cd0280819081c524660f3822f3 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:55 p.m.