Triple
T6973988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kgotla |
E161668
|
entity |
| Predicate | scopeOfIssues |
P29037
|
FINISHED |
| Object | land disputes |
—
|
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: land disputes | Statement: [kgotla, scopeOfIssues, land disputes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scopeOfIssues Context triple: [kgotla, scopeOfIssues, land disputes]
-
A.
involvesIssue
chosen
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
B.
scopeOfAdvice
Indicates that one entity defines or specifies the range, boundaries, or subject matter covered by another entity’s advice or guidance.
-
C.
scopeOfContribution
Indicates the specific area, domain, or extent within which an entity’s contribution or involvement applies.
-
D.
subjectMatterScope
Indicates the thematic or topical domain that an action, statement, or resource pertains to or falls within.
-
E.
keyIssueArea
Indicates that something is a primary topic, domain, or field that is central or especially important within a broader context or discussion.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db3bda908190a10a91dc8d043ef1 |
completed | March 27, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.