Triple
T6549605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heroes Day |
E151096
|
entity |
| Predicate | keyFigureCommemorated |
P500
|
FINISHED |
| Object |
Bung Tomo
Bung Tomo was an Indonesian nationalist leader and orator renowned for rallying resistance against British and Dutch forces during the 1945 Battle of Surabaya.
|
E605429
|
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: Bung Tomo | Statement: [Heroes Day, keyFigureCommemorated, Bung Tomo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bung Tomo Context triple: [Heroes Day, keyFigureCommemorated, Bung Tomo]
-
A.
Toma-no-mimi
Toma-no-mimi is one of the twin main peaks forming the summit area of Mount Tanigawa in Japan’s Tanigawa mountain range.
-
B.
Toyabungkah
Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
-
C.
Totsakan
Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
-
D.
Bugotu
Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
-
E.
Tomomi
Tomomi is a Japanese given name that can be used for people of any gender.
- 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: Bung Tomo Triple: [Heroes Day, keyFigureCommemorated, Bung Tomo]
Generated description
Bung Tomo was an Indonesian nationalist leader and orator renowned for rallying resistance against British and Dutch forces during the 1945 Battle of Surabaya.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bung Tomo Target entity description: Bung Tomo was an Indonesian nationalist leader and orator renowned for rallying resistance against British and Dutch forces during the 1945 Battle of Surabaya.
-
A.
Toma-no-mimi
Toma-no-mimi is one of the twin main peaks forming the summit area of Mount Tanigawa in Japan’s Tanigawa mountain range.
-
B.
Toyabungkah
Toyabungkah is a village in Bali, Indonesia, known as a gateway to the Mount Batur volcanic region and its nearby hot springs.
-
C.
Totsakan
Totsakan is the ten-headed demon king of Lanka in the Thai epic Ramakien, serving as its central villain and a key figure in Thai classical literature and performance.
-
D.
Bugotu
Bugotu is an Austronesian language of the Meso-Melanesian subgroup spoken primarily on Santa Isabel Island in the Solomon Islands.
-
E.
Tomomi
Tomomi is a Japanese given name that can be used for people of any gender.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ae037c488190b9441f9a9e7a69b6 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55113408190b96baf2747f36e3c |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d82753288190bb8cd18254feee2d |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d92bc2508190b0e1eaf8b46c958e |
completed | March 27, 2026, 7:23 p.m. |
Created at: March 27, 2026, 1:51 p.m.