Triple
T36977347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South African bond market |
E914735
|
entity |
| Predicate | relatedIndexType |
P19875
|
FINISHED |
| Object | bond indices |
—
|
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: bond indices | Statement: [South African bond market, relatedIndexType, bond indices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedIndexType Context triple: [South African bond market, relatedIndexType, bond indices]
-
A.
associatedIndex
Indicates that one entity is linked to another through a corresponding index or positional reference.
-
B.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
C.
indexType
chosen
Indicates the classification or category of an index associated with an entity or structure.
-
D.
relatedTo
Indicates a general, non-specific relationship or association exists between two entities.
-
E.
requiresIndicesType
Indicates that one entity depends on or mandates a specific type or format of indices from another entity in order to function or be valid.
- 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.