Triple
T22856782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commune of Clermont-Ferrand |
E566503
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Konyang
Konyang is a town in South Korea known in part for its international partnership as a twin town of Clermont-Ferrand, France.
|
E1559465
|
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: Konyang | Statement: [Commune of Clermont-Ferrand, hasTwinTown, Konyang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konyang Context triple: [Commune of Clermont-Ferrand, hasTwinTown, Konyang]
-
A.
Nampong
Nampong is a small border town in Arunachal Pradesh, India, known as a gateway for trade and transit between India and Myanmar.
-
B.
Balgüe
Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
-
C.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
D.
Nakchhong
Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
-
E.
Minyong
Minyong is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
- 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: Konyang Triple: [Commune of Clermont-Ferrand, hasTwinTown, Konyang]
Generated description
Konyang is a town in South Korea known in part for its international partnership as a twin town of Clermont-Ferrand, France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konyang Target entity description: Konyang is a town in South Korea known in part for its international partnership as a twin town of Clermont-Ferrand, France.
-
A.
Nampong
Nampong is a small border town in Arunachal Pradesh, India, known as a gateway for trade and transit between India and Myanmar.
-
B.
Balgüe
Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
-
C.
Taebong
Taebong was a short-lived Korean kingdom of the early 10th century that emerged during the Later Three Kingdoms period before being absorbed by Goryeo.
-
D.
Nakchhong
Nakchhong is a traditional ritual specialist and religious officiant within the Kirat Mundhum indigenous belief system.
-
E.
Minyong
Minyong is a subgroup of the Adi people, an indigenous community of Arunachal Pradesh in Northeast India known for its distinct language and cultural traditions.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebd7d48819085f350f2ce4144a0 |
completed | April 29, 2026, 3:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bae89d2ec8190a521c10f1fce4bd0 |
completed | May 19, 2026, 12:27 a.m. |
| NEDg | Description generation | batch_6a0bb2debe588190a86fa25237b279f0 |
completed | May 19, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bb366cf6c8190bd52a1255a7ed537 |
completed | May 19, 2026, 12:48 a.m. |
Created at: April 17, 2026, 3:37 p.m.