Triple
T25026482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakarta Composite Index |
E626722
|
entity |
| Predicate | isPrimaryBenchmarkOf |
P23757
|
FINISHED |
| Object | Indonesia Stock Exchange |
—
|
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: Indonesia Stock Exchange | Statement: [Jakarta Composite Index, isPrimaryBenchmarkOf, Indonesia Stock Exchange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrimaryBenchmarkOf Context triple: [Jakarta Composite Index, isPrimaryBenchmarkOf, Indonesia Stock Exchange]
-
A.
primaryBenchmarkProvider
chosen
Indicates that one entity serves as the main or default source of benchmark data or performance standards for another entity.
-
B.
hasBenchmarkRole
Indicates that an entity holds or is assigned a specific role within a benchmarking context or process.
-
C.
benchmarkFor
Indicates that one entity serves as a standard or reference point against which the performance, quality, or characteristics of another entity are measured or evaluated.
-
D.
hasBenchmarkInstances
Indicates that an entity is associated with one or more benchmark instances used for evaluation or comparison.
-
E.
numberOfBenchmarksUsed
Indicates the quantity of distinct benchmarks that are utilized in a given context or evaluation.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f621fcea1481909b6f8b3af1ee6820 |
completed | May 2, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 18, 2026, 6:07 a.m.