Triple
T24270287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P Target Date Indices |
E605257
|
entity |
| Predicate | hasBenchmarkType |
P145839
|
FINISHED |
| Object | total return 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: total return indices | Statement: [S&P Target Date Indices, hasBenchmarkType, total return indices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBenchmarkType Context triple: [S&P Target Date Indices, hasBenchmarkType, total return indices]
-
A.
hasBenchmarkInstances
chosen
Indicates that an entity is associated with one or more benchmark instances used for evaluation or comparison.
-
B.
hasBenchType
Indicates that an entity is associated with or characterized by a specific type or category of bench.
-
C.
hasBenchmarkRole
Indicates that an entity holds or is assigned a specific role within a benchmarking context or process.
-
D.
hasMetricType
Indicates that something is associated with or characterized by a specific type or category of metric.
-
E.
hasCheckpointType
Indicates that a checkpoint is associated with a specific type or category defining its role or characteristics.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.