Triple
T1058130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kyoto Prefecture |
E22843
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Muko
Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
|
E129411
|
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: Muko | Statement: [Kyoto Prefecture, hasCity, Muko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muko Context triple: [Kyoto Prefecture, hasCity, Muko]
-
A.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
-
B.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
C.
Tumpa
Tumpa is a song featured on the album "Legend of the Sun Virgin."
-
D.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
E.
Oulainen
Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
- 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: Muko Triple: [Kyoto Prefecture, hasCity, Muko]
Generated description
Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Muko Target entity description: Muko is a small city in Japan’s Kyoto Prefecture, known for its residential character and proximity to Kyoto City.
-
A.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
-
B.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
C.
Tumpa
Tumpa is a song featured on the album "Legend of the Sun Virgin."
-
D.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
-
E.
Oulainen
Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8dc9e8c819099fbb192bcf80615 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac599c08f481908b720e2cc7c4a5ef |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5a6b43cc81908086f4c4e2bb34c8 |
completed | March 7, 2026, 5:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5add366c819086a01654c6cdcf38 |
completed | March 7, 2026, 5:05 p.m. |
Created at: March 1, 2026, 7:42 p.m.