Triple
T7944651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Lake Waterman |
E184469
|
entity |
| Predicate | targetsIndustry |
P52507
|
FINISHED |
| Object | technology |
—
|
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: technology | Statement: [Silver Lake Waterman, targetsIndustry, technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetsIndustry Context triple: [Silver Lake Waterman, targetsIndustry, technology]
-
A.
containsIndustry
Indicates that one entity includes or encompasses a particular industry within its scope, structure, or operations.
-
B.
targetsSector
chosen
Indicates that an entity is directed toward, focused on, or intended to affect a particular economic or industry sector.
-
C.
targetCompanyIndustry
Indicates that a company operates within or is associated with a specified industry sector.
-
D.
industryStart
Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
-
E.
targetOrganizations
Indicates the organizations that are the intended recipients or focus of an action, initiative, or influence.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0e84448190a7e8e0749776a592 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:09 p.m.