Triple
T24564000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Consumer Staples Index |
E607733
|
entity |
| Predicate | isSubindexOf |
P5722
|
FINISHED |
| Object | S&P 500 Sector Indices |
—
|
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: S&P 500 Sector Indices | Statement: [S&P 500 Consumer Staples Index, isSubindexOf, S&P 500 Sector Indices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSubindexOf Context triple: [S&P 500 Consumer Staples Index, isSubindexOf, S&P 500 Sector Indices]
-
A.
isSubsequenceOf
Indicates that one sequence can be derived from another by deleting zero or more elements without changing the order of the remaining elements.
-
B.
isSubsegmentOf
Indicates that one segment is entirely contained within and forms a continuous part of another, larger segment.
-
C.
isComponentOfIndex
chosen
Indicates that something functions as a specific indexed component or element within a larger structured whole.
-
D.
hasSubset
Indicates that one set is entirely contained within another set, with all elements of the first set also belonging to the second.
-
E.
isSubclusterOf
Indicates that one cluster is a smaller, contained subset within a larger cluster.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f8a7488190a11f32014539a4a3 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.