Triple
T11620872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seidler Equity Partners |
E275632
|
entity |
| Predicate | industryApproach |
P100631
|
FINISHED |
| Object | sector-diversified |
—
|
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: sector-diversified | Statement: [Seidler Equity Partners, industryApproach, sector-diversified]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryApproach Context triple: [Seidler Equity Partners, industryApproach, sector-diversified]
-
A.
industryStart
Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
-
B.
industryResponseTo
Indicates that an industry reacts or responds in some way to a particular event, condition, policy, or influence.
-
C.
industryPerception
Indicates how an industry is viewed or regarded, typically in terms of reputation, trust, or overall public and stakeholder opinion.
-
D.
industryIntegrated
Indicates that something is closely connected or coordinated with industry practices, partners, or environments, often through collaboration, alignment, or direct involvement.
-
E.
industryContext
Indicates the industry or sector within which an entity, activity, or relationship is situated or most relevant.
- 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.