Triple
T1488687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenerife South Airport |
E29526
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object |
Arona
Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
|
E176074
|
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: Arona | Statement: [Tenerife South Airport, servesCity, Arona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arona Context triple: [Tenerife South Airport, servesCity, Arona]
-
A.
Lovari
Lovari are a subgroup of the Romani people, traditionally known as itinerant horse traders and craftsmen with their own distinct dialect and cultural customs.
-
B.
Lagoona
Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
-
C.
Arida
Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
-
D.
Paolone
Paolone is an Italian given name or nickname, typically a familiar or affectionate variant of the name Paolo.
-
E.
Anières
Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
- 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: Arona Triple: [Tenerife South Airport, servesCity, Arona]
Generated description
Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arona Target entity description: Arona is a coastal tourist municipality in southern Tenerife, Spain, known for its popular beach resorts such as Los Cristianos and Playa de las Américas.
-
A.
Lovari
Lovari are a subgroup of the Romani people, traditionally known as itinerant horse traders and craftsmen with their own distinct dialect and cultural customs.
-
B.
Lagoona
Lagoona is a creative work or character whose style and themes are shaped by the fantastical, fairy-filled world and motifs associated with Oberon from literature and mythology.
-
C.
Arida
Arida is a city in Japan known for its agricultural production, particularly high-quality citrus fruits, within Wakayama Prefecture.
-
D.
Paolone
Paolone is an Italian given name or nickname, typically a familiar or affectionate variant of the name Paolo.
-
E.
Anières
Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a6095481909e9d406ac9a41828 |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308bf1048190bc15a712e5ee0caa |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad3234bc508190a86647325df1d41a |
completed | March 8, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad32ca046c81908bcdc3f76e65e4d0 |
completed | March 8, 2026, 8:26 a.m. |
Created at: March 1, 2026, 8:12 p.m.