Triple
T23505222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamphu language |
E572262
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Yamphe dialect
Yamphe dialect is a regional variety of the Yamphu language spoken by the Yamphu people of eastern Nepal.
|
E1589114
|
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: Yamphe dialect | Statement: [Yamphu language, hasDialect, Yamphe dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yamphe dialect Context triple: [Yamphu language, hasDialect, Yamphe dialect]
-
A.
Hunza dialect
The Hunza dialect is a regional variety of the Burushaski language spoken primarily in the Hunza Valley of northern Pakistan.
-
B.
Malgwa dialect
The Malgwa dialect is a regional variety of the Mandara language spoken by communities in parts of northern Cameroon and neighboring areas.
-
C.
Sheshboluki dialect
The Sheshboluki dialect is a regional variety of the Qashqai Turkic language spoken by segments of the Qashqai people in southwestern Iran.
-
D.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
E.
Sampaga dialect
The Sampaga dialect is a regional variety of the Mamuju language spoken by communities in parts of West Sulawesi, Indonesia.
- 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: Yamphe dialect Triple: [Yamphu language, hasDialect, Yamphe dialect]
Generated description
Yamphe dialect is a regional variety of the Yamphu language spoken by the Yamphu people of eastern Nepal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yamphe dialect Target entity description: Yamphe dialect is a regional variety of the Yamphu language spoken by the Yamphu people of eastern Nepal.
-
A.
Hunza dialect
The Hunza dialect is a regional variety of the Burushaski language spoken primarily in the Hunza Valley of northern Pakistan.
-
B.
Malgwa dialect
The Malgwa dialect is a regional variety of the Mandara language spoken by communities in parts of northern Cameroon and neighboring areas.
-
C.
Sheshboluki dialect
The Sheshboluki dialect is a regional variety of the Qashqai Turkic language spoken by segments of the Qashqai people in southwestern Iran.
-
D.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
E.
Sampaga dialect
The Sampaga dialect is a regional variety of the Mamuju language spoken by communities in parts of West Sulawesi, Indonesia.
- 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_69e245b5e4208190bac8a6509867e394 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a8ff97c88190a67f787e1674619e |
completed | April 29, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8277b97481909b1405fd7469b910 |
completed | May 19, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a0ca6f2d4288190b0b5fd46d2a387bf |
completed | May 19, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ca7f09af48190b7bfdae25d2f286b |
completed | May 19, 2026, 6:12 p.m. |
Created at: April 17, 2026, 6:07 p.m.