Triple
T5879471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magaluf |
E130707
|
entity |
| Predicate | hasNeighbour |
P5707
|
FINISHED |
| Object |
Torrenova
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
|
E552729
|
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: Torrenova | Statement: [Magaluf, hasNeighbour, Torrenova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torrenova Context triple: [Magaluf, hasNeighbour, Torrenova]
-
A.
Sollum
Sollum is a small coastal town in northwestern Egypt near the Libyan border that has historically served as a strategic military and trading point, particularly during World War II.
-
B.
Tavium
Tavium was an important ancient city of the Galatian Celts in central Anatolia, serving as a key political and commercial center.
-
C.
Priverno
Priverno is a historic town in the Lazio region of central Italy, known for its medieval architecture and proximity to the ancient site of Privernum.
-
D.
Avallon
Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
-
E.
Edenborn
Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
- 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: Torrenova Triple: [Magaluf, hasNeighbour, Torrenova]
Generated description
Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torrenova Target entity description: Torrenova is a coastal resort area on the island of Mallorca in Spain, known for its beaches and proximity to the nightlife of Magaluf.
-
A.
Sollum
Sollum is a small coastal town in northwestern Egypt near the Libyan border that has historically served as a strategic military and trading point, particularly during World War II.
-
B.
Tavium
Tavium was an important ancient city of the Galatian Celts in central Anatolia, serving as a key political and commercial center.
-
C.
Priverno
Priverno is a historic town in the Lazio region of central Italy, known for its medieval architecture and proximity to the ancient site of Privernum.
-
D.
Avallon
Avallon is a historic commune in central France known for its medieval architecture and scenic location on a granite outcrop in the Burgundy region.
-
E.
Edenborn
Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03633f0d88190b0ecf595cb28b783 |
completed | March 22, 2026, 6:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b12d9e348190b4baf171ce448d5b |
completed | March 23, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c0b20828948190b0459089cb6038d6 |
completed | March 23, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0b286537481908741b9e0a368f94f |
completed | March 23, 2026, 3:24 a.m. |
Created at: March 22, 2026, 3:57 p.m.