Triple
T20754056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semarang Regency |
E510803
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Ungaran
Ungaran is a town in Central Java, Indonesia, known as an administrative and economic center within the Semarang metropolitan area.
|
E1448966
|
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: Ungaran | Statement: [Semarang Regency, capital, Ungaran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ungaran Context triple: [Semarang Regency, capital, Ungaran]
-
A.
Salatiga
Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
-
B.
Kotamobagu
Kotamobagu is a city in North Sulawesi, Indonesia, known as an administrative and economic center in the Bolaang Mongondow region.
-
C.
Purworejo
Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
-
D.
Blora
Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
-
E.
Blitar
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
- 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: Ungaran Triple: [Semarang Regency, capital, Ungaran]
Generated description
Ungaran is a town in Central Java, Indonesia, known as an administrative and economic center within the Semarang metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ungaran Target entity description: Ungaran is a town in Central Java, Indonesia, known as an administrative and economic center within the Semarang metropolitan area.
-
A.
Salatiga
Salatiga is a small city in Central Java, Indonesia, known for its cool climate, educational institutions, and location between Mount Merbabu and Mount Telomoyo.
-
B.
Kotamobagu
Kotamobagu is a city in North Sulawesi, Indonesia, known as an administrative and economic center in the Bolaang Mongondow region.
-
C.
Purworejo
Purworejo is a regency in Central Java, Indonesia, known for its agricultural landscape and proximity to the southern coast of Java.
-
D.
Blora
Blora is a regency-level town in Indonesia known for its teak forests and cultural heritage, located in the eastern part of Central Java.
-
E.
Blitar
Blitar is a city in East Java, Indonesia, best known as the hometown and final resting place of the country’s first president, Sukarno.
- 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_6a08e8489c188190a79c573f8470445c |
completed | May 16, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_6a08e9a399f88190aab9e52277113271 |
completed | May 16, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08ea0f4b60819093de46bd7543df38 |
completed | May 16, 2026, 10:05 p.m. |
Created at: April 16, 2026, 12:34 p.m.