Triple
T12056423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Route N2 |
E287053
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object |
KwaDukuza
KwaDukuza is a town in South Africa’s KwaZulu-Natal province, historically known as Stanger, that serves as an important regional commercial and administrative center.
|
E961634
|
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: KwaDukuza | Statement: [National Route N2, connectsCity, KwaDukuza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KwaDukuza Context triple: [National Route N2, connectsCity, KwaDukuza]
-
A.
KWA
KWA is the IATA airport code for Bucholz Army Airfield, a joint military and civilian airfield on Kwajalein Atoll in the Marshall Islands.
-
B.
Kwadi
Kwadi is an extinct and poorly documented language of southwestern Angola, thought to be related to the Khoe languages within the proposed Khoe-Kwadi family.
-
C.
Kwando
Kwando is a river in southern Africa that flows through Angola, Namibia, and Botswana, forming part of the region’s complex wetland and river system.
-
D.
Wadadli
Wadadli is the indigenous name for the Caribbean island now known as Antigua.
-
E.
Wakool
Wakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural activities and proximity to the Wakool River.
- 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: KwaDukuza Triple: [National Route N2, connectsCity, KwaDukuza]
Generated description
KwaDukuza is a town in South Africa’s KwaZulu-Natal province, historically known as Stanger, that serves as an important regional commercial and administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KwaDukuza Target entity description: KwaDukuza is a town in South Africa’s KwaZulu-Natal province, historically known as Stanger, that serves as an important regional commercial and administrative center.
-
A.
KWA
KWA is the IATA airport code for Bucholz Army Airfield, a joint military and civilian airfield on Kwajalein Atoll in the Marshall Islands.
-
B.
Kwadi
Kwadi is an extinct and poorly documented language of southwestern Angola, thought to be related to the Khoe languages within the proposed Khoe-Kwadi family.
-
C.
Kwando
Kwando is a river in southern Africa that flows through Angola, Namibia, and Botswana, forming part of the region’s complex wetland and river system.
-
D.
Wadadli
Wadadli is the indigenous name for the Caribbean island now known as Antigua.
-
E.
Wakool
Wakool is a small rural locality in the Riverina region of New South Wales, Australia, known for its agricultural activities and proximity to the Wakool River.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043bf0ec8190a51ef2641808320c |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d96c3f08190847ba49929b7628f |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.