Triple
T12443641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mpondo |
E297339
|
entity |
| Predicate | primaryLivelihoodRegion |
P75000
|
FINISHED |
| Object | rural Eastern Cape |
—
|
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: rural Eastern Cape | Statement: [Mpondo, primaryLivelihoodRegion, rural Eastern Cape]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLivelihoodRegion Context triple: [Mpondo, primaryLivelihoodRegion, rural Eastern Cape]
-
A.
livelihood
Indicates that one entity serves as the primary means of support, income, or subsistence for another entity.
-
B.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
C.
primarySectorActivity
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
-
D.
traditionalRegionOfResidence
Indicates the customary or historically established geographic region where an entity (typically a person or group) resides or is considered to be from.
-
E.
regionOfHabitation
chosen
Indicates the geographic area or environment in which an entity typically lives or resides.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95151e7348190a1d4953a8b416a13 |
completed | April 10, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69d94d3c27a08190a0237200203e476d |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.