Triple
T21429348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murut language |
E528642
|
entity |
| Predicate | hasDialect |
P4251
|
FINISHED |
| Object |
Selungai Murut
Selungai Murut is a regional dialect of the Murut language spoken by Murut communities in parts of Borneo.
|
E1483853
|
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: Selungai Murut | Statement: [Murut language, hasDialect, Selungai Murut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selungai Murut Context triple: [Murut language, hasDialect, Selungai Murut]
-
A.
Sungai Muntoh
Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
-
B.
Terengganu River
The Terengganu River is a significant waterway in the Malaysian state of Terengganu, flowing through Kuala Terengganu and playing an important role in local transport, fishing, and tourism.
-
C.
Sungai Perlis
Sungai Perlis is a river in the Malaysian state of Perlis that flows through its capital, Kangar, and plays an important role in the region’s drainage and local economy.
-
D.
Sungai Batu
Sungai Batu is a river in Malaysia that flows near the famous Batu Caves limestone hill and temple complex.
-
E.
Semantan River
The Semantan River is a significant tributary waterway in the Malaysian state of Pahang, contributing to the flow and drainage of the larger Pahang River basin.
- 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: Selungai Murut Triple: [Murut language, hasDialect, Selungai Murut]
Generated description
Selungai Murut is a regional dialect of the Murut language spoken by Murut communities in parts of Borneo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selungai Murut Target entity description: Selungai Murut is a regional dialect of the Murut language spoken by Murut communities in parts of Borneo.
-
A.
Sungai Muntoh
Sungai Muntoh is a small settlement located in the Jelebu District of Negeri Sembilan, Malaysia.
-
B.
Terengganu River
The Terengganu River is a significant waterway in the Malaysian state of Terengganu, flowing through Kuala Terengganu and playing an important role in local transport, fishing, and tourism.
-
C.
Sungai Perlis
Sungai Perlis is a river in the Malaysian state of Perlis that flows through its capital, Kangar, and plays an important role in the region’s drainage and local economy.
-
D.
Sungai Batu
Sungai Batu is a river in Malaysia that flows near the famous Batu Caves limestone hill and temple complex.
-
E.
Semantan River
The Semantan River is a significant tributary waterway in the Malaysian state of Pahang, contributing to the flow and drainage of the larger Pahang River basin.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c2ac2d188190b909826855b4d132 |
completed | May 17, 2026, 1:29 p.m. |
| NEDg | Description generation | batch_6a09c33c37e88190b559bbf98e589487 |
completed | May 17, 2026, 1:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09c3c6a208819096b2e4a2c92b3cb0 |
completed | May 17, 2026, 1:33 p.m. |
Created at: April 16, 2026, 5:49 p.m.