Triple
T17830614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanhua District |
E445242
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object |
Bangka
Bangka is the old name for Taipei’s Wanhua District, historically known as one of the city’s earliest and most vibrant commercial and cultural centers.
|
E1291521
|
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: Bangka | Statement: [Wanhua District, historicalName, Bangka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangka Context triple: [Wanhua District, historicalName, Bangka]
-
A.
Bangka
Bangka is a large Indonesian island off the east coast of Sumatra, known for its tin mining and beautiful beaches.
-
B.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
C.
Penange
Penange is a lesser-known Dogon language spoken by the Dogon people of Mali in West Africa.
-
D.
Pangcah
Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
-
E.
Lumban
Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
- 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: Bangka Triple: [Wanhua District, historicalName, Bangka]
Generated description
Bangka is the old name for Taipei’s Wanhua District, historically known as one of the city’s earliest and most vibrant commercial and cultural centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bangka Target entity description: Bangka is the old name for Taipei’s Wanhua District, historically known as one of the city’s earliest and most vibrant commercial and cultural centers.
-
A.
Bangka
Bangka is a large Indonesian island off the east coast of Sumatra, known for its tin mining and beautiful beaches.
-
B.
Bantia
Bantia was an ancient Oscan-speaking city in southern Italy, notable for yielding important inscriptions that illuminate the Oscan language and Italic legal traditions.
-
C.
Penange
Penange is a lesser-known Dogon language spoken by the Dogon people of Mali in West Africa.
-
D.
Pangcah
Pangcah is the self-designation of the Amis, one of the largest Indigenous Austronesian peoples of Taiwan, known for their distinct language and rich cultural traditions.
-
E.
Lumban
Lumban is a municipality in the Philippine province of Laguna known for its traditional hand-embroidered textiles and scenic lakeside setting along Laguna de Bay.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48917c4d88190b919a4b75aed011c |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0306f3b0b881909b460809ac3ada92 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a030986606c819099a8ea86a3ef1c26 |
completed | May 12, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0309e9e0108190bc1f60ddacef20cc |
completed | May 12, 2026, 11:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.