Triple
T1873608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malay Peninsula |
E39088
|
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: [Malay Peninsula, highestPoint, Mount Tahan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Tahan Context triple: [Malay Peninsula, 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 Papandayan
Mount Papandayan is an active stratovolcano in West Java, Indonesia, known for its steaming fumaroles, sulfur craters, and popular hiking trails.
-
D.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
E.
Mount Vitsi
Mount Vitsi is a mountain in northern Greece near the border with Albania, known for its strategic role in the Greek Civil War and its forested slopes that now attract hikers and nature enthusiasts.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0d648ec8190a21445ddca6f9aa6 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae228008190a0d427c74fd37511 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.