Triple
T9745143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region X |
E236286
|
entity |
| Predicate | hasMountain |
P10602
|
FINISHED |
| Object |
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.
|
E817864
|
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 Dulang-dulang | Statement: [Region X, hasMountain, Mount Dulang-dulang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Dulang-dulang Context triple: [Region X, hasMountain, Mount Dulang-dulang]
-
A.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
-
B.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
C.
Mount Pangasun
Mount Pangasun is the tallest volcanic peak in the remote Babuyan Islands of the northern Philippines.
-
D.
Godangbong Peak
Godangbong Peak is the main summit of Geumjeongsan, offering panoramic views and popular hiking routes near Busan, South Korea.
-
E.
Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
- 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 Dulang-dulang Triple: [Region X, hasMountain, Mount Dulang-dulang]
Generated description
Mount Dulang-dulang is one of the highest and most biodiverse peaks in the Philippines, located in the northern part of Mindanao.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Dulang-dulang Target entity description: Mount Dulang-dulang is one of the highest and most biodiverse peaks in the Philippines, located in the northern part of Mindanao.
-
A.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
-
B.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
C.
Mount Pangasun
Mount Pangasun is the tallest volcanic peak in the remote Babuyan Islands of the northern Philippines.
-
D.
Godangbong Peak
Godangbong Peak is the main summit of Geumjeongsan, offering panoramic views and popular hiking routes near Busan, South Korea.
-
E.
Mount Loke
Mount Loke is a peak in Antarctica’s Olympus Range, part of the McMurdo Dry Valleys region known for its cold, arid, and largely ice-free landscape.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2f8e648190ad94c940f9dc1de0 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b004a6e88190a974f4a8973f91ef |
completed | April 5, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d1b0f7a68481909de080dd78f883a8 |
completed | April 5, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b17bd97c8190b77815db5a6a70d9 |
completed | April 5, 2026, 12:49 a.m. |
Created at: March 30, 2026, 8:23 p.m.