Triple
T22688565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qunu, Eastern Cape, South Africa |
E560985
|
entity |
| Predicate | distanceTo_Mthatha_km |
P110555
|
FINISHED |
| Object | about 32 |
—
|
LITERAL 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: about 32 | Statement: [Qunu, Eastern Cape, South Africa, distanceTo_Mthatha_km, about 32]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo_Mthatha_km Context triple: [Qunu, Eastern Cape, South Africa, distanceTo_Mthatha_km, about 32]
-
A.
distanceToMthatha
chosen
Indicates the spatial distance between a given entity and the location Mthatha.
-
B.
distanceFromMahikeng
Indicates the measured distance between a given entity and the location of Mahikeng.
-
C.
distanceFromPretoria
Indicates the spatial distance between a given entity or location and the city of Pretoria.
-
D.
distanceFromMbabaneKilometers
Indicates the physical distance, measured in kilometers, between an entity’s location and the city of Mbabane.
-
E.
approximateDistanceToPretoria
Indicates that one entity has an estimated or rough distance measurement relative to the location of Pretoria.
- F. None of above.
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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178983fc8819080aa00e45ff77952 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62b2259c819091ed1387a748b9f3 |
completed | April 26, 2026, 7:08 p.m. |
Created at: April 17, 2026, 3:13 p.m.