Triple
T24270594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 Energy Index |
E605265
|
entity |
| Predicate | includesCompaniesInvolvedIn |
P155400
|
FINISHED |
| Object | oil |
—
|
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: oil | Statement: [S&P 500 Energy Index, includesCompaniesInvolvedIn, oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesCompaniesInvolvedIn Context triple: [S&P 500 Energy Index, includesCompaniesInvolvedIn, oil]
-
A.
includesCompaniesFrom
Indicates that a collection, group, or set contains or incorporates one or more companies as its members or elements.
-
B.
disasterCompanyInvolved
Indicates that a company was involved in a disaster, such as by causing it, contributing to it, or being significantly affected by it.
-
C.
involvedOrganizations
Indicates that there is a participation or engagement relationship between an entity and one or more organizations in the context of a specific event, activity, or project.
-
D.
includesPrivateCompanies
Indicates that the relationship or set explicitly encompasses or applies to private companies as part of its scope.
-
E.
affectedCompany
Indicates that a company is impacted or influenced by a particular event, action, or entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 12:07 a.m.