Triple
T3876226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Sumatra |
E92507
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Pematangsiantar
Pematangsiantar is a major city in North Sumatra, Indonesia, known as an important economic and transportation hub in the region.
|
E400884
|
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: Pematangsiantar | Statement: [North Sumatra, contains, Pematangsiantar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pematangsiantar Context triple: [North Sumatra, contains, Pematangsiantar]
-
A.
Padang Panjang
Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
-
B.
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.
-
C.
Nagari Pandan Gadang
Nagari Pandan Gadang is a village in West Sumatra, Indonesia, best known as the birthplace of Indonesian nationalist and revolutionary Tan Malaka.
-
D.
Keningau
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
E.
Medan
Medan is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Abraham by his wife Keturah.
- 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: Pematangsiantar Triple: [North Sumatra, contains, Pematangsiantar]
Generated description
Pematangsiantar is a major city in North Sumatra, Indonesia, known as an important economic and transportation hub in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pematangsiantar Target entity description: Pematangsiantar is a major city in North Sumatra, Indonesia, known as an important economic and transportation hub in the region.
-
A.
Padang Panjang
Padang Panjang is a small highland city in West Sumatra, Indonesia, known for its Minangkabau cultural heritage and cool mountainous climate.
-
B.
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.
-
C.
Nagari Pandan Gadang
Nagari Pandan Gadang is a village in West Sumatra, Indonesia, best known as the birthplace of Indonesian nationalist and revolutionary Tan Malaka.
-
D.
Keningau
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
E.
Medan
Medan is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Abraham by his wife Keturah.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec706434819095e0d2b376adb548 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533788a70819089d028cee84a7e87 |
completed | March 14, 2026, 10:07 a.m. |
| NEDg | Description generation | batch_69b53404294881908a91dced77133b57 |
completed | March 14, 2026, 10:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b53482a40c8190bd62b0bc8df92c0c |
completed | March 14, 2026, 10:12 a.m. |
Created at: March 9, 2026, 3:20 p.m.