Triple
T2659719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pagan |
E54697
|
entity |
| Predicate | hasHighestPoint |
P210
|
FINISHED |
| Object |
Mount Pagan
Mount Pagan is an active stratovolcano that forms the highest peak on Pagan Island in the Northern Mariana Islands.
|
E291096
|
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: Mount Pagan | Statement: [Pagan, hasHighestPoint, Mount Pagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Pagan Context triple: [Pagan, hasHighestPoint, Mount Pagan]
-
A.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
B.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
C.
Mount Popomanaseu
Mount Popomanaseu is the tallest mountain on the island of Guadalcanal in the Solomon Islands, known for its rugged terrain and tropical rainforest environment.
-
D.
Mount Tahan
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.
-
E.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
- 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: Mount Pagan Triple: [Pagan, hasHighestPoint, Mount Pagan]
Generated description
Mount Pagan is an active stratovolcano that forms the highest peak on Pagan Island in the Northern Mariana Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Pagan Target entity description: Mount Pagan is an active stratovolcano that forms the highest peak on Pagan Island in the Northern Mariana Islands.
-
A.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
B.
Mount Heha
Mount Heha is the tallest mountain in Burundi, located in the Burundi Highlands near the city of Bujumbura.
-
C.
Mount Popomanaseu
Mount Popomanaseu is the tallest mountain on the island of Guadalcanal in the Solomon Islands, known for its rugged terrain and tropical rainforest environment.
-
D.
Mount Tahan
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.
-
E.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd94f3b1881909bd36cfe61c254a5 |
completed | March 7, 2026, 7:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf4d70388190b6f0e683c77bc262 |
completed | March 10, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69afafddb2a081909b891eed7ba5411d |
completed | March 10, 2026, 5:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb10304488190a1129efae36b3c4e |
completed | March 10, 2026, 5:49 a.m. |
Created at: March 6, 2026, 9:53 p.m.