Triple
T24274507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XEL |
E605369
|
entity |
| Predicate | issuerGicsIndustry |
P90899
|
FINISHED |
| Object | Multi-Utilities |
—
|
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: Multi-Utilities | Statement: [XEL, issuerGicsIndustry, Multi-Utilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuerGicsIndustry Context triple: [XEL, issuerGicsIndustry, Multi-Utilities]
-
A.
hasGICSindustry
chosen
Indicates that an entity belongs to, or is classified under, a specific GICS (Global Industry Classification Standard) industry category.
-
B.
industryOfUnderlyingIssuer
Indicates the industry sector to which the underlying issuer in a financial or contractual arrangement belongs.
-
C.
hasGICSindustryGroup
Indicates that an entity is classified as belonging to a specific GICS (Global Industry Classification Standard) industry group.
-
D.
hasGICSsector
Indicates that an entity is classified as belonging to a particular Global Industry Classification Standard (GICS) sector.
-
E.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
- 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_69f28d5da53c8190810f4e7777d112ba |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c457a2908190993824395b3c365d |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.