Triple
T16195484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasithi Plateau |
E393049
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Kaminaki
Kaminaki is a small traditional village located on the Lasithi Plateau in eastern Crete, Greece.
|
E1201531
|
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: Kaminaki | Statement: [Lasithi Plateau, hasSettlement, Kaminaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaminaki Context triple: [Lasithi Plateau, hasSettlement, Kaminaki]
-
A.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
B.
Kamina
Kamina is a bold, charismatic swordsman and leader from the anime "Tengen Toppa Gurren Lagann," known for his unshakable confidence, inspirational speeches, and influence on the protagonist Simon.
-
C.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
D.
Kaminoshima
Kaminoshima is one of the uninhabited, forested islets of the Tomogashima archipelago in Wakayama Prefecture, Japan, known for its coastal scenery and wartime ruins.
-
E.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
- 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: Kaminaki Triple: [Lasithi Plateau, hasSettlement, Kaminaki]
Generated description
Kaminaki is a small traditional village located on the Lasithi Plateau in eastern Crete, Greece.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaminaki Target entity description: Kaminaki is a small traditional village located on the Lasithi Plateau in eastern Crete, Greece.
-
A.
Takamikura
Takamikura is the ornate imperial throne used in Kyoto for the enthronement ceremonies of Japanese emperors.
-
B.
Kamina
Kamina is a bold, charismatic swordsman and leader from the anime "Tengen Toppa Gurren Lagann," known for his unshakable confidence, inspirational speeches, and influence on the protagonist Simon.
-
C.
Shimotsuki
Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
-
D.
Kaminoshima
Kaminoshima is one of the uninhabited, forested islets of the Tomogashima archipelago in Wakayama Prefecture, Japan, known for its coastal scenery and wartime ruins.
-
E.
Nuriro
Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d91130819080da4e2611612e27 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ecf454081909660f4ab9c556ddc |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a000f5471308190a68961b4fbce46aa |
completed | May 10, 2026, 4:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a000fae428081909a246f0f8e284541 |
completed | May 10, 2026, 4:55 a.m. |
Created at: April 10, 2026, 5:02 a.m.