Triple
T24269741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Utilities |
E605243
|
entity |
| Predicate | sectorCodeStandard |
P120942
|
FINISHED |
| Object | GICS utilities sector |
—
|
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: GICS utilities sector | Statement: [S&P 500 Utilities, sectorCodeStandard, GICS utilities sector]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectorCodeStandard Context triple: [S&P 500 Utilities, sectorCodeStandard, GICS utilities sector]
-
A.
sectorCode
Indicates the classification code that identifies the economic or organizational sector associated with an entity or activity.
-
B.
institutionCode
Indicates the code that identifies the institution associated with the entity or record.
-
C.
SICCode
Indicates the standardized industrial classification code that categorizes the primary type of economic activity associated with an entity or relationship.
-
D.
sectorRecognized
Indicates that an entity has been formally acknowledged or classified within a particular sector or industry.
-
E.
hasGICSCode
chosen
Indicates that an entity is associated with a specific GICS (Global Industry Classification Standard) code that classifies its industry or sector.
- 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.