Triple
T20754071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semarang Regency |
E510803
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Getasan District
Getasan District is an administrative district in Central Java, Indonesia, located within Semarang Regency and known for its rural highland landscapes near Mount Merbabu.
|
E1450568
|
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: Getasan District | Statement: [Semarang Regency, hasPart, Getasan District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Getasan District Context triple: [Semarang Regency, hasPart, Getasan District]
-
A.
Buka District
Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
-
B.
Duji District
Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
-
C.
Rodat District
Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
-
D.
Truk District
Truk District was a former administrative district of the Trust Territory of the Pacific Islands centered on the Truk (now Chuuk) Lagoon in Micronesia.
-
E.
Kuta District
Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
- 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: Getasan District Triple: [Semarang Regency, hasPart, Getasan District]
Generated description
Getasan District is an administrative district in Central Java, Indonesia, located within Semarang Regency and known for its rural highland landscapes near Mount Merbabu.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Getasan District Target entity description: Getasan District is an administrative district in Central Java, Indonesia, located within Semarang Regency and known for its rural highland landscapes near Mount Merbabu.
-
A.
Buka District
Buka District is an administrative district located within the Tashkent Region of Uzbekistan.
-
B.
Duji District
Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
-
C.
Rodat District
Rodat District is an administrative district located within Nangarhar Province in eastern Afghanistan.
-
D.
Truk District
Truk District was a former administrative district of the Trust Territory of the Pacific Islands centered on the Truk (now Chuuk) Lagoon in Micronesia.
-
E.
Kuta District
Kuta District is a popular coastal area in southern Bali, Indonesia, known for its busy tourist beaches, nightlife, and surf culture.
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22d0ebc8190b17077326f540f98 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08f8af97d88190bf25ef71339d05da |
completed | May 16, 2026, 11:07 p.m. |
| NEDg | Description generation | batch_6a08f94896188190ab49ba3d766eba6c |
completed | May 16, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f99e6c508190903a6f3669e305a1 |
completed | May 16, 2026, 11:11 p.m. |
Created at: April 16, 2026, 12:34 p.m.