Triple
T38492312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rand goldfields |
E918084
|
entity |
| Predicate | labourSourceRegions |
P190640
|
FINISHED |
| Object | Southern Africa |
—
|
NE NERFINISHED |
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: Southern Africa | Statement: [Rand goldfields, labourSourceRegions, Southern Africa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labourSourceRegions Context triple: [Rand goldfields, labourSourceRegions, Southern Africa]
-
A.
workforceOrigin
chosen
Indicates the source or place from which a workforce or labor force originates.
-
B.
sourceRegion
Indicates the geographic or spatial region from which something originates or is derived.
-
C.
employerInRegion
Indicates that an employer operates or has its primary business presence within a specified geographic region.
-
D.
workFromCountry
Indicates that an entity performs their work or job while being physically located in a specified country.
-
E.
developmentRegion
Indicates the geographic or administrative region in which something is developed, produced, or primarily created.
- 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_69f76e9894208190a129a553a60ca58c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.