Triple
T6098729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaili language |
E135940
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Kori Kaili
Kori Kaili is a regional dialect of the Kaili language spoken in parts of Central Sulawesi, Indonesia.
|
E569496
|
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: Kori Kaili | Statement: [Kaili language, hasDialect, Kori Kaili]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kori Kaili Context triple: [Kaili language, hasDialect, Kori Kaili]
-
A.
Kala Amb
Kala Amb is a historically significant site near Panipat in Haryana, India, associated with one of the major Battles of Panipat.
-
B.
Khamnor Hills
Khamnor Hills is a hilly region in Rajasthan, India, known as the upland area from which the Banas River originates.
-
C.
Shere Hills
Shere Hills is a prominent rocky highland and popular hiking and sightseeing destination located near Jos in Plateau State, Nigeria.
-
D.
Bamuni Hills
Bamuni Hills is an archaeological site near Tezpur in Assam, India, known for its ancient temple ruins and intricate stone carvings dating back to the early medieval period.
-
E.
Bomdila
Bomdila is a hill town in northeastern India known for its Buddhist monasteries, scenic Himalayan views, and role as a cultural and administrative center in the region.
- 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: Kori Kaili Triple: [Kaili language, hasDialect, Kori Kaili]
Generated description
Kori Kaili is a regional dialect of the Kaili language spoken in parts of Central Sulawesi, Indonesia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kori Kaili Target entity description: Kori Kaili is a regional dialect of the Kaili language spoken in parts of Central Sulawesi, Indonesia.
-
A.
Kala Amb
Kala Amb is a historically significant site near Panipat in Haryana, India, associated with one of the major Battles of Panipat.
-
B.
Khamnor Hills
Khamnor Hills is a hilly region in Rajasthan, India, known as the upland area from which the Banas River originates.
-
C.
Shere Hills
Shere Hills is a prominent rocky highland and popular hiking and sightseeing destination located near Jos in Plateau State, Nigeria.
-
D.
Bamuni Hills
Bamuni Hills is an archaeological site near Tezpur in Assam, India, known for its ancient temple ruins and intricate stone carvings dating back to the early medieval period.
-
E.
Bomdila
Bomdila is a hill town in northeastern India known for its Buddhist monasteries, scenic Himalayan views, and role as a cultural and administrative center in the region.
- 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.