Triple
T20692737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laguboti |
E508590
|
entity |
| Predicate | regencySeat |
P71777
|
FINISHED |
| Object |
Balige
Balige is a town in North Sumatra, Indonesia, known as an administrative and cultural center near Lake Toba.
|
E1445442
|
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: Balige | Statement: [Laguboti, regencySeat, Balige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balige Context triple: [Laguboti, regencySeat, Balige]
-
A.
Cileunyi
Cileunyi is a suburban district on the eastern outskirts of Bandung in West Java, Indonesia, known as a growing residential and transit area within the Bandung metropolitan region.
-
B.
Gedebage
Gedebage is a district in the eastern part of Bandung, West Java, Indonesia, known for its growing urban development and strategic transport links.
-
C.
Nasinu
Nasinu is a major suburban town in Fiji, located between Suva and Nausori on the island of Viti Levu and known for being one of the country’s most populous municipalities.
-
D.
Amurang
Amurang is a coastal town in North Sulawesi, Indonesia, known as an administrative and economic center in the region.
-
E.
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.
- 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: Balige Triple: [Laguboti, regencySeat, Balige]
Generated description
Balige is a town in North Sumatra, Indonesia, known as an administrative and cultural center near Lake Toba.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balige Target entity description: Balige is a town in North Sumatra, Indonesia, known as an administrative and cultural center near Lake Toba.
-
A.
Cileunyi
Cileunyi is a suburban district on the eastern outskirts of Bandung in West Java, Indonesia, known as a growing residential and transit area within the Bandung metropolitan region.
-
B.
Gedebage
Gedebage is a district in the eastern part of Bandung, West Java, Indonesia, known for its growing urban development and strategic transport links.
-
C.
Nasinu
Nasinu is a major suburban town in Fiji, located between Suva and Nausori on the island of Viti Levu and known for being one of the country’s most populous municipalities.
-
D.
Amurang
Amurang is a coastal town in North Sulawesi, Indonesia, known as an administrative and economic center in the region.
-
E.
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.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c10fc4088190ab71ef078600954b |
completed | April 21, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08d7e43a3c81909f63e63e30e9c435 |
completed | May 16, 2026, 8:47 p.m. |
| NEDg | Description generation | batch_6a08d91216bc8190909e0e37f6d5e612 |
completed | May 16, 2026, 8:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d99214b48190b0ffba4026d3fa39 |
completed | May 16, 2026, 8:54 p.m. |
Created at: April 16, 2026, 12:09 p.m.