Triple
T21085884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IDBLW |
E519485
|
entity |
| Predicate | geographicScope |
P82
|
FINISHED |
| Object | Belawan |
—
|
NE NERFINISHED |
How this triple was built (2 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: Belawan | Statement: [IDBLW, geographicScope, Belawan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belawan Context triple: [IDBLW, geographicScope, Belawan]
-
A.
Belawan
chosen
Belawan is a major port town in North Sumatra, Indonesia, serving as an important maritime gateway for the city of Medan and the surrounding region.
-
B.
Tarutung
Tarutung is a principal town in North Sumatra, Indonesia, serving as an administrative and cultural center for the Tapanuli region.
-
C.
Lubuk Pakam
Lubuk Pakam is an administrative town in North Sumatra, Indonesia, known as a local governmental and commercial center in the region.
-
D.
Meulaboh
Meulaboh is a coastal town in Aceh, Indonesia, known historically as a center of resistance during the Acehnese struggle against Dutch colonial rule.
-
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.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094ad1c08190a4b9d2668a6362b2 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:50 p.m.