Triple
T29016580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hedosophia |
E737323
|
entity |
| Predicate | hasInvestmentVehicleType |
P67141
|
FINISHED |
| Object | special purpose acquisition company |
—
|
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: special purpose acquisition company | Statement: [Hedosophia, hasInvestmentVehicleType, special purpose acquisition company]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInvestmentVehicleType Context triple: [Hedosophia, hasInvestmentVehicleType, special purpose acquisition company]
-
A.
isInvestmentVehicleFor
Indicates that one entity serves as a financial instrument or structure used to hold, manage, or grow assets on behalf of another entity.
-
B.
includesInvestmentVehicles
Indicates that one entity contains, comprises, or makes use of specific investment vehicles as part of its structure or offerings.
-
C.
hasFinancialInstrumentType
chosen
Indicates that an entity is associated with, or classified by, a specific type or category of financial instrument.
-
D.
hasVehicle
Indicates that one entity possesses, owns, or is assigned a vehicle.
-
E.
hasConceptVehicle
Indicates that an entity is associated with or involves a particular vehicle concept (e.g., as its subject, example, or focus).
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: April 28, 2026, 9:46 a.m.