Triple
T10029742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Highlands |
E204821
|
entity |
| Predicate | town |
P3385
|
FINISHED |
| Object |
Brinchang
Brinchang is a popular hill resort town in Malaysia’s Cameron Highlands, known for its cool climate, night market, and proximity to tea plantations and strawberry farms.
|
E836526
|
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: Brinchang | Statement: [Cameron Highlands, town, Brinchang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brinchang Context triple: [Cameron Highlands, town, Brinchang]
-
A.
Bangi
Bangi is a town in the state of Selangor, Malaysia, known as an educational hub due to the presence of major institutions and research facilities.
-
B.
Dungun
Dungun is a coastal town in the state of Terengganu, Malaysia, known historically for fishing and nearby iron ore mining activities.
-
C.
Jurong
Jurong is a county-level city in Jiangsu Province, eastern China, known for its historical sites and proximity to the Yangtze River.
-
D.
Jasinga
Jasinga is a district-level area in West Java, Indonesia, known as one of the administrative regions within Bogor Regency.
-
E.
Kampar
Kampar is a town and district in Perak, Malaysia, historically notable as the site of a major World War II battle between British Commonwealth and Japanese forces.
- 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: Brinchang Triple: [Cameron Highlands, town, Brinchang]
Generated description
Brinchang is a popular hill resort town in Malaysia’s Cameron Highlands, known for its cool climate, night market, and proximity to tea plantations and strawberry farms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brinchang Target entity description: Brinchang is a popular hill resort town in Malaysia’s Cameron Highlands, known for its cool climate, night market, and proximity to tea plantations and strawberry farms.
-
A.
Bangi
Bangi is a town in the state of Selangor, Malaysia, known as an educational hub due to the presence of major institutions and research facilities.
-
B.
Dungun
Dungun is a coastal town in the state of Terengganu, Malaysia, known historically for fishing and nearby iron ore mining activities.
-
C.
Jurong
Jurong is a county-level city in Jiangsu Province, eastern China, known for its historical sites and proximity to the Yangtze River.
-
D.
Jasinga
Jasinga is a district-level area in West Java, Indonesia, known as one of the administrative regions within Bogor Regency.
-
E.
Kampar
Kampar is a town and district in Perak, Malaysia, historically notable as the site of a major World War II battle between British Commonwealth and Japanese forces.
- 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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcde69bd08190a5c79ec8487dfff6 |
completed | April 2, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d282351ebc8190b22bf3964823b0ee |
completed | April 5, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_69d282fd10248190a1a0b4573b2065ae |
completed | April 5, 2026, 3:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d283d0e1748190a0c65bbaa8e8348e |
completed | April 5, 2026, 3:46 p.m. |
Created at: March 30, 2026, 8:54 p.m.