Triple
T5944896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State University of Medan |
E132255
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Medan |
E22954
|
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: Medan | Statement: [State University of Medan, city, Medan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medan Context triple: [State University of Medan, city, Medan]
-
A.
Medan
chosen
Medan is a major economic and cultural hub in northern Sumatra, known as one of Indonesia’s largest cities and a gateway to the region.
-
B.
Medan
Medan is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Abraham by his wife Keturah.
-
C.
Padang Sidempuan
Padang Sidempuan is a city in western Indonesia known as a regional center in the southern part of North Sumatra province.
-
D.
Tanjungbalai
Tanjungbalai is a coastal city and port in northeastern Sumatra, Indonesia, known for its fishing industry and location along the Asahan River.
-
E.
Binjai
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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393a10448190b0960f4487e87448 |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16e909f9c8190a78254d81437f404 |
completed | March 23, 2026, 4:47 p.m. |
Created at: March 22, 2026, 4:01 p.m.