Triple
T24270575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Consumer Discretionary Index |
E605264
|
entity |
| Predicate | sectorCodeGICS |
P44726
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [S&P 500 Consumer Discretionary Index, sectorCodeGICS, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorCodeGICS Context triple: [S&P 500 Consumer Discretionary Index, sectorCodeGICS, 25]
-
A.
hasGICSCode
Indicates that an entity is associated with a specific GICS (Global Industry Classification Standard) code that classifies its industry or sector.
-
B.
sectorCode
chosen
Indicates the classification code that identifies the economic or organizational sector associated with an entity or activity.
-
C.
hasGICSsector
Indicates that an entity is classified as belonging to a particular Global Industry Classification Standard (GICS) sector.
-
D.
hasGICSindustry
Indicates that an entity belongs to, or is classified under, a specific GICS (Global Industry Classification Standard) industry category.
-
E.
hasGICSindustryGroup
Indicates that an entity is classified as belonging to a specific GICS (Global Industry Classification Standard) industry group.
- 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_69f28d59e0808190a1048e4e2e5689f3 |
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.