Triple
T1494300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tan Malaka |
E29651
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object |
Selopanggung
Selopanggung is a village in East Java, Indonesia, historically noted as the place where Indonesian independence leader Tan Malaka was killed.
|
E170872
|
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: Selopanggung | Statement: [Tan Malaka, placeOfDeath, Selopanggung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selopanggung Context triple: [Tan Malaka, placeOfDeath, Selopanggung]
-
A.
Batu Sawar
Batu Sawar was a historically significant town in present-day Malaysia that served as an early political and administrative center of the Johor Sultanate after the fall of Malacca.
-
B.
Mount Wanggameti
Mount Wanggameti is the tallest mountain on the Indonesian island of Sumba, known for its forested slopes and biodiversity within protected conservation areas.
-
C.
Sasak
Sasak is an Austronesian language spoken primarily by the Sasak people on the Indonesian island of Lombok.
-
D.
Sukoró
Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
-
E.
Sembalun
Sembalun is a village in East Lombok, Indonesia, known as a primary gateway and starting point for treks up Mount Rinjani.
- 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: Selopanggung Triple: [Tan Malaka, placeOfDeath, Selopanggung]
Generated description
Selopanggung is a village in East Java, Indonesia, historically noted as the place where Indonesian independence leader Tan Malaka was killed.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selopanggung Target entity description: Selopanggung is a village in East Java, Indonesia, historically noted as the place where Indonesian independence leader Tan Malaka was killed.
-
A.
Batu Sawar
Batu Sawar was a historically significant town in present-day Malaysia that served as an early political and administrative center of the Johor Sultanate after the fall of Malacca.
-
B.
Mount Wanggameti
Mount Wanggameti is the tallest mountain on the Indonesian island of Sumba, known for its forested slopes and biodiversity within protected conservation areas.
-
C.
Sasak
Sasak is an Austronesian language spoken primarily by the Sasak people on the Indonesian island of Lombok.
-
D.
Sukoró
Sukoró is a village in Hungary’s Fejér County, known as a lakeside resort and recreational area on the northern shore of Lake Velence.
-
E.
Sembalun
Sembalun is a village in East Lombok, Indonesia, known as a primary gateway and starting point for treks up Mount Rinjani.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6c78c9481909b210b845aa6e9df |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1cabe25c8190ba1d285a210a00f0 |
completed | March 8, 2026, 6:52 a.m. |
| NEDg | Description generation | batch_69ad1fb7e4448190a7bca159cd5a4be7 |
completed | March 8, 2026, 7:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2014a0c481908f2f66fc742fa90f |
completed | March 8, 2026, 7:07 a.m. |
Created at: March 1, 2026, 8:12 p.m.