Triple
T21721236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melanau language |
E536159
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Mukah Melanau
Mukah Melanau is a major coastal dialect of the Melanau language spoken primarily around the town of Mukah in Sarawak, Malaysia.
|
E1498721
|
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: Mukah Melanau | Statement: [Melanau language, hasDialect, Mukah Melanau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukah Melanau Context triple: [Melanau language, hasDialect, Mukah Melanau]
-
A.
Dungun
Dungun is a coastal town in the state of Terengganu, Malaysia, known historically for fishing and nearby iron ore mining activities.
-
B.
Kuala Klawang
Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
-
C.
Kuala Besut
Kuala Besut is a small coastal town in Terengganu, Malaysia, best known as the main departure point for boat trips to the Perhentian Islands.
-
D.
Tanjung Malim
Tanjung Malim is a town in Perak, Malaysia, known as a regional transport hub and gateway between the states of Perak and Selangor.
-
E.
Ringgau
Ringgau is a rural municipality in the Werra-Meißner district of northeastern Hesse, Germany, known for its scenic low mountain landscape near the Thuringian border.
- 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: Mukah Melanau Triple: [Melanau language, hasDialect, Mukah Melanau]
Generated description
Mukah Melanau is a major coastal dialect of the Melanau language spoken primarily around the town of Mukah in Sarawak, Malaysia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mukah Melanau Target entity description: Mukah Melanau is a major coastal dialect of the Melanau language spoken primarily around the town of Mukah in Sarawak, Malaysia.
-
A.
Dungun
Dungun is a coastal town in the state of Terengganu, Malaysia, known historically for fishing and nearby iron ore mining activities.
-
B.
Kuala Klawang
Kuala Klawang is a small town in Negeri Sembilan, Malaysia, known as the main administrative and commercial center of the surrounding Jelebu area.
-
C.
Kuala Besut
Kuala Besut is a small coastal town in Terengganu, Malaysia, best known as the main departure point for boat trips to the Perhentian Islands.
-
D.
Tanjung Malim
Tanjung Malim is a town in Perak, Malaysia, known as a regional transport hub and gateway between the states of Perak and Selangor.
-
E.
Ringgau
Ringgau is a rural municipality in the Werra-Meißner district of northeastern Hesse, Germany, known for its scenic low mountain landscape near the Thuringian border.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd96f1fbc8190a202f834aec1a319 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24b98e6c8190a2afff6b11c78963 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a28d08738819081084d9d1c91e6ef |
completed | May 17, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a2c3a1fc481908c46c86bc6bda9fa |
completed | May 17, 2026, 8:59 p.m. |
Created at: April 16, 2026, 6:47 p.m.