Triple
T5733408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Batur |
E126439
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Toyabungkah
Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
|
E541096
|
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: Toyabungkah | Statement: [Mount Batur, locatedNear, Toyabungkah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toyabungkah Context triple: [Mount Batur, locatedNear, Toyabungkah]
-
A.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
B.
Tsubakuro
Tsubakuro is the popular swallow-themed mascot character of the Tokyo Yakult Swallows professional baseball team in Japan.
-
C.
Tabaruzaka
Tabaruzaka is a historic area near Kumamoto in Kyushu, Japan, best known as the site of a major and bloody engagement during the 1877 Satsuma Rebellion.
-
D.
Okutama
Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
-
E.
Tokusuke
Tokusuke is the given name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy in the Meiji era.
- 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: Toyabungkah Triple: [Mount Batur, locatedNear, Toyabungkah]
Generated description
Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toyabungkah Target entity description: Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
-
A.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
B.
Tsubakuro
Tsubakuro is the popular swallow-themed mascot character of the Tokyo Yakult Swallows professional baseball team in Japan.
-
C.
Tabaruzaka
Tabaruzaka is a historic area near Kumamoto in Kyushu, Japan, best known as the site of a major and bloody engagement during the 1877 Satsuma Rebellion.
-
D.
Okutama
Okutama is a mountainous town in western Tokyo, Japan, known for its forests, lakes, and outdoor recreation areas at the headwaters of the Tama River.
-
E.
Tokusuke
Tokusuke is the given name of Nakae Chōmin, a prominent Japanese political theorist, journalist, and early advocate of liberal democracy in the Meiji era.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02534288c8190807dcdd183fccfe5 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a931b3c819092119a1587625eb5 |
completed | March 22, 2026, 9:09 p.m. |
| NEDg | Description generation | batch_69c05c471c3081909e5bf44f47388a7c |
completed | March 22, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c05cda809c81908219947cf06c381a |
completed | March 22, 2026, 9:19 p.m. |
Created at: March 22, 2026, 3:47 p.m.