Triple
T2841090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sedibeng District Municipality |
E62468
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Meyerton |
E304565
|
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: Meyerton | Statement: [Sedibeng District Municipality, hasMajorTown, Meyerton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meyerton Context triple: [Sedibeng District Municipality, hasMajorTown, Meyerton]
-
A.
Meyerton
chosen
Meyerton is a town in South Africa’s Gauteng province, situated within the Sedibeng region and known for its mix of residential, industrial, and agricultural areas.
-
B.
Midgley
Midgley is a small village in West Yorkshire, England, known for its rural setting in the Calder Valley near Luddenden Foot.
-
C.
Merrison
Merrison is a surname most notably associated with British actor Clive Merrison, known for his extensive work in theatre, film, and radio.
-
D.
Daisy Hill
Daisy Hill is a railway station in Greater Manchester, England, serving the local community with regular regional train services.
-
E.
Levington
Levington is a small rural village and civil parish in Suffolk, England, situated near the River Orwell and known for its agricultural landscape and historic church.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf16d0c08190bb8de4a4160b4414 |
completed | March 7, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b01d7705108190a986d3def0c08f7b |
completed | March 10, 2026, 1:32 p.m. |
Created at: March 6, 2026, 10:01 p.m.