Triple
T7840761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kediri |
E181796
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Mount Klotok
Mount Klotok is a small volcanic mountain near Kediri in East Java, Indonesia, known for its hiking trails and panoramic views of the surrounding region.
|
E705814
|
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 Klotok | Statement: [Kediri, hasLandmark, Mount Klotok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Klotok Context triple: [Kediri, hasLandmark, Mount Klotok]
-
A.
Mount Lokon
Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
-
B.
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.
-
C.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
-
D.
Mount Kapalatmada
Mount Kapalatmada is the tallest mountain on Buru Island in Indonesia, forming a prominent feature of the island’s rugged interior.
-
E.
Mount Jagungal
Mount Jagungal is a prominent peak in New South Wales’ Snowy Mountains, known for its remote alpine landscapes and popularity with hikers and backcountry skiers.
- 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 Klotok Triple: [Kediri, hasLandmark, Mount Klotok]
Generated description
Mount Klotok is a small volcanic mountain near Kediri in East Java, Indonesia, known for its hiking trails and panoramic views of the surrounding region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mount Klotok Target entity description: Mount Klotok is a small volcanic mountain near Kediri in East Java, Indonesia, known for its hiking trails and panoramic views of the surrounding region.
-
A.
Mount Lokon
Mount Lokon is an active stratovolcano in North Sulawesi, Indonesia, known for its frequent eruptions and significant volcanic activity.
-
B.
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.
-
C.
Mount Welirang
Mount Welirang is an active stratovolcano in East Java, Indonesia, known for its sulfur mining and frequent fumarolic activity.
-
D.
Mount Kapalatmada
Mount Kapalatmada is the tallest mountain on Buru Island in Indonesia, forming a prominent feature of the island’s rugged interior.
-
E.
Mount Jagungal
Mount Jagungal is a prominent peak in New South Wales’ Snowy Mountains, known for its remote alpine landscapes and popularity with hikers and backcountry skiers.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c589748190b34d0911d373e194 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc55f5c7408190823dbe7c59d61ead |
completed | March 31, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69cc5822581481908a143376bee599ec |
completed | March 31, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc58f549388190ba6c8b41c0820cd6 |
completed | March 31, 2026, 11:29 p.m. |
Created at: March 30, 2026, 4:47 p.m.