Triple
T6381837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pamona language |
E143600
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Tentena dialect
The Tentena dialect is a regional variety of the Pamona language spoken primarily around the town of Tentena in Central Sulawesi, Indonesia.
|
E588802
|
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: Tentena dialect | Statement: [Pamona language, hasDialect, Tentena dialect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tentena dialect Context triple: [Pamona language, hasDialect, Tentena dialect]
-
A.
Turu dialect
Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
-
B.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
C.
Vegliot dialect
The Vegliot dialect is an extinct variety of the Dalmatian Romance language once spoken on the island of Krk (Veglia) in the Adriatic Sea.
-
D.
Krakolye dialect
The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
-
E.
Lutsi dialect
The Lutsi dialect is an extinct variety of South Estonian once spoken by a small Estonian-speaking community in eastern Latvia.
- 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: Tentena dialect Triple: [Pamona language, hasDialect, Tentena dialect]
Generated description
The Tentena dialect is a regional variety of the Pamona language spoken primarily around the town of Tentena in Central Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tentena dialect Target entity description: The Tentena dialect is a regional variety of the Pamona language spoken primarily around the town of Tentena in Central Sulawesi, Indonesia.
-
A.
Turu dialect
Turu dialect is a regional variety of the Berom language spoken by Berom communities in parts of central Nigeria.
-
B.
Malgavet dialect
The Malgavet dialect is a regional variety of the Lihir language spoken on the Lihir Islands of Papua New Guinea.
-
C.
Vegliot dialect
The Vegliot dialect is an extinct variety of the Dalmatian Romance language once spoken on the island of Krk (Veglia) in the Adriatic Sea.
-
D.
Krakolye dialect
The Krakolye dialect is a regional variety of the Votic language traditionally spoken in and around the village of Krakolye in Ingria.
-
E.
Lutsi dialect
The Lutsi dialect is an extinct variety of South Estonian once spoken by a small Estonian-speaking community in eastern Latvia.
- 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0685385948190938b67bff671072b |
completed | March 22, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62db397f48190bc4533ce26b27a55 |
completed | March 27, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_69c62f1923408190996ba6dbb5bab651 |
completed | March 27, 2026, 7:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c62f9797188190afb5313176e34864 |
completed | March 27, 2026, 7:19 a.m. |
Created at: March 22, 2026, 4:34 p.m.