Triple
T3510264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skopelos |
E74178
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Neo Klima
Neo Klima is a coastal village on the Greek island of Skopelos, known for its beaches, marina, and role as a modern seaside resort.
|
E363272
|
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: Neo Klima | Statement: [Skopelos, hasSettlement, Neo Klima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neo Klima Context triple: [Skopelos, hasSettlement, Neo Klima]
-
A.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
B.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
C.
Shinkiari
Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
-
D.
Yuasa
Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
-
E.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
- 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: Neo Klima Triple: [Skopelos, hasSettlement, Neo Klima]
Generated description
Neo Klima is a coastal village on the Greek island of Skopelos, known for its beaches, marina, and role as a modern seaside resort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neo Klima Target entity description: Neo Klima is a coastal village on the Greek island of Skopelos, known for its beaches, marina, and role as a modern seaside resort.
-
A.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
B.
Citura
Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
-
C.
Shinkiari
Shinkiari is a town in Pakistan’s Khyber Pakhtunkhwa province, known for its agricultural surroundings and its location along the Karakoram Highway near Mansehra.
-
D.
Yuasa
Yuasa is a historic coastal town in Japan renowned as the birthplace of traditional soy sauce production.
-
E.
J-Air
J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0e1f0c8190b054d9fba16ce4b3 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373e71ae8819096ea39955c92076a |
completed | March 13, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69b374e50a088190ad4dc101efd68d54 |
completed | March 13, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37544b04c819090e6f59babd8017e |
completed | March 13, 2026, 2:24 a.m. |
Created at: March 8, 2026, 3:18 p.m.