Triple
T22400825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Tapanuli Regency |
E553753
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Sipirok
Sipirok is a town in North Sumatra, Indonesia, known as an administrative and cultural center of the South Tapanuli region.
|
E1534784
|
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: Sipirok | Statement: [South Tapanuli Regency, capital, Sipirok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sipirok Context triple: [South Tapanuli Regency, capital, Sipirok]
-
A.
Sibolga
Sibolga is a coastal city and port on the western coast of Sumatra, Indonesia, known as a gateway to nearby islands and marine tourism areas.
-
B.
Ratahan
Ratahan is a town in North Sulawesi, Indonesia, known as an administrative and residential center situated near the active volcano Mount Soputan.
-
C.
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.
-
D.
Tarutung
Tarutung is a principal town in North Sumatra, Indonesia, serving as an administrative and cultural center for the Tapanuli region.
-
E.
Gedebage
Gedebage is a district in the eastern part of Bandung, West Java, Indonesia, known for its growing urban development and strategic transport links.
- 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: Sipirok Triple: [South Tapanuli Regency, capital, Sipirok]
Generated description
Sipirok is a town in North Sumatra, Indonesia, known as an administrative and cultural center of the South Tapanuli region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sipirok Target entity description: Sipirok is a town in North Sumatra, Indonesia, known as an administrative and cultural center of the South Tapanuli region.
-
A.
Sibolga
Sibolga is a coastal city and port on the western coast of Sumatra, Indonesia, known as a gateway to nearby islands and marine tourism areas.
-
B.
Ratahan
Ratahan is a town in North Sulawesi, Indonesia, known as an administrative and residential center situated near the active volcano Mount Soputan.
-
C.
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.
-
D.
Tarutung
Tarutung is a principal town in North Sumatra, Indonesia, serving as an administrative and cultural center for the Tapanuli region.
-
E.
Gedebage
Gedebage is a district in the eastern part of Bandung, West Java, Indonesia, known for its growing urban development and strategic transport links.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b39c908190a735aa860d733869 |
completed | April 29, 2026, 1:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9cad4ec8190a813d865445b9236 |
completed | May 18, 2026, 10:28 a.m. |
| NEDg | Description generation | batch_6a0aeacb18c48190a6f8d239a104959d |
completed | May 18, 2026, 10:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeb6252248190a7cb0df06afd4db2 |
completed | May 18, 2026, 10:35 a.m. |
Created at: April 16, 2026, 8:46 p.m.