Triple
T6098719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaili language |
E135940
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Ado Kaili
Ado Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
|
E569492
|
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: Ado Kaili | Statement: [Kaili language, hasDialect, Ado Kaili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ado Kaili Context triple: [Kaili language, hasDialect, Ado Kaili]
-
A.
Ado
Ado is a local government area in Benue State, Nigeria, traditionally inhabited by the Idoma people.
-
B.
Vartoosh Adoian
Vartoosh Adoian was the sister of Armenian-American abstract expressionist painter Arshile Gorky.
-
C.
Didi Dache
Didi Dache was a pioneering Chinese taxi-hailing mobile app that later became part of the ride-hailing giant Didi Chuxing.
-
D.
Kara Osman
Kara Osman, better known as Osman I, was the founder and first ruler of the Ottoman Empire in the late 13th and early 14th centuries.
-
E.
Chipo Chung
Chipo Chung is a Zimbabwean-born British actress and activist known for her work in film, television, and theatre, including roles in productions such as "Doctor Who" and "A.D. The Bible Continues."
- 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: Ado Kaili Triple: [Kaili language, hasDialect, Ado Kaili]
Generated description
Ado Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ado Kaili Target entity description: Ado Kaili is a regional dialect of the Kaili language spoken by communities in Central Sulawesi, Indonesia.
-
A.
Ado
Ado is a local government area in Benue State, Nigeria, traditionally inhabited by the Idoma people.
-
B.
Vartoosh Adoian
Vartoosh Adoian was the sister of Armenian-American abstract expressionist painter Arshile Gorky.
-
C.
Didi Dache
Didi Dache was a pioneering Chinese taxi-hailing mobile app that later became part of the ride-hailing giant Didi Chuxing.
-
D.
Kara Osman
Kara Osman, better known as Osman I, was the founder and first ruler of the Ottoman Empire in the late 13th and early 14th centuries.
-
E.
Chipo Chung
Chipo Chung is a Zimbabwean-born British actress and activist known for her work in film, television, and theatre, including roles in productions such as "Doctor Who" and "A.D. The Bible Continues."
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9a02888190ac201acd14c3fc31 |
completed | March 22, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125475548819086b733a80056eba5 |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c128753cd8819096edb3c817bfae10 |
completed | March 23, 2026, 11:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129134ce08190ada54a7b3eda27f4 |
completed | March 23, 2026, 11:50 a.m. |
Created at: March 22, 2026, 4:13 p.m.