Triple
T10029843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taman Negara |
E204823
|
entity |
| Predicate | highestPoint |
P210
|
FINISHED |
| Object | Mount Tahan |
E210532
|
NE FINISHED |
How this triple was built (2 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: Mount Tahan | Statement: [Taman Negara, highestPoint, Mount Tahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tahan Context triple: [Taman Negara, highestPoint, Mount Tahan]
-
A.
Mount Tahan
chosen
Mount Tahan is the highest peak on the Malay Peninsula, located within Malaysia’s Taman Negara National Park and renowned for its challenging jungle treks.
-
B.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
-
C.
Mount Pangasun
Mount Pangasun is the tallest volcanic peak in the remote Babuyan Islands of the northern Philippines.
-
D.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
E.
Mount Dulang-dulang
Mount Dulang-dulang is one of the highest and most biodiverse peaks in the Philippines, located in the northern part of Mindanao.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d2e559a1608190903e9b2dff12bb00 |
completed | April 5, 2026, 10:42 p.m. |
Created at: March 30, 2026, 8:54 p.m.