Triple
T17824109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhu Island |
E445068
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Koguva
Koguva is a historic coastal village in Estonia known for its well-preserved traditional farm architecture and role as an open-air museum on Muhu Island.
|
E1289339
|
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: Koguva | Statement: [Muhu Island, hasSettlement, Koguva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koguva Context triple: [Muhu Island, hasSettlement, Koguva]
-
A.
Koja
Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
-
B.
Korku
Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
-
C.
Kavim
Kavim is a crime novel by Turkish author Ahmet Ümit that blends detective fiction with social and political themes in contemporary Turkey.
-
D.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
E.
Kuluin
Kuluin is a residential suburb on Queensland’s Sunshine Coast, located inland from Maroochydore and known for its family-friendly community and local schools.
- 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: Koguva Triple: [Muhu Island, hasSettlement, Koguva]
Generated description
Koguva is a historic coastal village in Estonia known for its well-preserved traditional farm architecture and role as an open-air museum on Muhu Island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koguva Target entity description: Koguva is a historic coastal village in Estonia known for its well-preserved traditional farm architecture and role as an open-air museum on Muhu Island.
-
A.
Koja
Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
-
B.
Korku
Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
-
C.
Kavim
Kavim is a crime novel by Turkish author Ahmet Ümit that blends detective fiction with social and political themes in contemporary Turkey.
-
D.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
E.
Kuluin
Kuluin is a residential suburb on Queensland’s Sunshine Coast, located inland from Maroochydore and known for its family-friendly community and local schools.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891352ac8190ad3d669fea1c9fbb |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff69f02c81908a7b6b8b564cceec |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03000abe908190a4f4835f348aa544 |
completed | May 12, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300e885e481909c76dfbac2fd1009 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 10, 2026, 10:15 a.m.