Triple
T9694523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Araucanian languages |
E234613
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Chedungun
Chedungun is a variety of the Mapuche (Araucanian) language spoken by the Mapuche people of south-central Chile and neighboring regions of Argentina.
|
E815820
|
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: Chedungun | Statement: [Araucanian languages, hasPart, Chedungun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chedungun Context triple: [Araucanian languages, hasPart, Chedungun]
-
A.
Sungsang
Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
-
B.
Junggumun
Junggumun is a historical writing system used in Korea that incorporated Chinese characters to represent Korean grammatical elements and sounds.
-
C.
Conchan
Conchan is the historic parish name for the area now known as Onchan on the Isle of Man.
-
D.
Donggureung
Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- 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: Chedungun Triple: [Araucanian languages, hasPart, Chedungun]
Generated description
Chedungun is a variety of the Mapuche (Araucanian) language spoken by the Mapuche people of south-central Chile and neighboring regions of Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chedungun Target entity description: Chedungun is a variety of the Mapuche (Araucanian) language spoken by the Mapuche people of south-central Chile and neighboring regions of Argentina.
-
A.
Sungsang
Sungsang is a coastal village in South Sumatra, Indonesia, known as a fishing and port settlement near the mouth of the Musi River.
-
B.
Junggumun
Junggumun is a historical writing system used in Korea that incorporated Chinese characters to represent Korean grammatical elements and sounds.
-
C.
Conchan
Conchan is the historic parish name for the area now known as Onchan on the Isle of Man.
-
D.
Donggureung
Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
-
E.
Gulgong
Gulgong is a historic gold rush town in New South Wales, Australia, known for its well-preserved 19th-century streetscapes and heritage buildings.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d348868819083aec7a5da8c455b |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912216d481909f6a0f977d570a93 |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d1926e9154819086be60bd6fa55453 |
completed | April 4, 2026, 10:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d19611bbe08190b1893727c1fa05ce |
completed | April 4, 2026, 10:52 p.m. |
Created at: March 30, 2026, 8:17 p.m.