Triple
T5436121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belawan Port |
E122011
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Belawan |
E403822
|
NE FINISHED |
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: [Belawan Port, locatedIn, Belawan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belawan Context triple: [Belawan Port, locatedIn, Belawan]
-
A.
Keningau
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
B.
Solok
Solok is a city in the Indonesian province of West Sumatra known for its rice production and scenic highland landscapes.
-
C.
Tanjungbalai
Tanjungbalai is a coastal city and port in northeastern Sumatra, Indonesia, known for its fishing industry and location along the Asahan River.
-
D.
Padang Sidempuan
Padang Sidempuan is a city in western Indonesia known as a regional center in the southern part of North Sumatra province.
-
E.
Binjai
chosen
Binjai is a city in Indonesia located near Medan on the island of Sumatra, known as a regional trade and transit hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd46400768819092925d461c0b8432 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd91b099488190b4c5f1cea3f45d57 |
completed | March 20, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3acfd0408190877fbe41f1dc45ba |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.