Triple
T10765384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O.R. Tambo District Municipality |
E253939
|
entity |
| Predicate | hasMunicipalCode |
P3943
|
FINISHED |
| Object |
DC15
DC15 is the official municipal code assigned to the O.R. Tambo District Municipality in South Africa’s Eastern Cape province.
|
E884189
|
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: DC15 | Statement: [O.R. Tambo District Municipality, hasMunicipalCode, DC15]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DC15 Context triple: [O.R. Tambo District Municipality, hasMunicipalCode, DC15]
-
A.
DC35
DC35 is the official municipal code designating the Capricorn District Municipality in South Africa’s Limpopo province.
-
B.
DC3
DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
-
C.
DC34
DC34 is the official municipal code assigned to the Vhembe District Municipality in South Africa.
-
D.
DC25
DC25 is the official municipal code assigned to the Amajuba District Municipality in South Africa’s KwaZulu-Natal province.
-
E.
DC47
DC47 is the ISO code designating South Africa’s Sekhukhune District Municipality in Limpopo Province.
- 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: DC15 Triple: [O.R. Tambo District Municipality, hasMunicipalCode, DC15]
Generated description
DC15 is the official municipal code assigned to the O.R. Tambo District Municipality in South Africa’s Eastern Cape province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DC15 Target entity description: DC15 is the official municipal code assigned to the O.R. Tambo District Municipality in South Africa’s Eastern Cape province.
-
A.
DC35
DC35 is the official municipal code designating the Capricorn District Municipality in South Africa’s Limpopo province.
-
B.
DC3
DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
-
C.
DC34
DC34 is the official municipal code assigned to the Vhembe District Municipality in South Africa.
-
D.
DC25
DC25 is the official municipal code assigned to the Amajuba District Municipality in South Africa’s KwaZulu-Natal province.
-
E.
DC47
DC47 is the ISO code designating South Africa’s Sekhukhune District Municipality in Limpopo Province.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a5d5248190badfc5a8ab0215d6 |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de235fe7748190ba004f889da389ff |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de271ee56c81908d2f690f31c2d2db |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2e05fdb08190b880f9158b14118b |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:16 p.m.