Triple
T12252374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gelora Bung Tomo Stadium |
E292004
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Bung Tomo |
E605429
|
NE FINISHED |
How this triple was built (2 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: [Gelora Bung Tomo Stadium, namedAfter, Bung Tomo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bung Tomo Context triple: [Gelora Bung Tomo Stadium, namedAfter, Bung Tomo]
-
A.
Bung Tomo
chosen
Bung Tomo was an Indonesian nationalist leader and orator renowned for rallying resistance against British and Dutch forces during the 1945 Battle of Surabaya.
-
B.
Tajōmaru
Tajōmaru is the notorious bandit whose conflicting testimonies drive the plot and themes of truth and perception in Ryūnosuke Akutagawa’s short story "In a Grove."
-
C.
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.
-
D.
Tebunginako
Tebunginako is a village settlement on the atoll of Abaiang in the island nation of Kiribati, known for being severely affected by coastal erosion and sea-level rise.
-
E.
Bungotakada
Bungotakada is a small coastal city in northeastern Kyushu, Japan, known for its preserved Showa-era townscape and scenic rural landscapes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc849308190b6ff416f8b4f01e8 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60abbf75c81908a25e1c0a4aee8c1 |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:52 p.m.