Triple
T8494848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Capital Hedosophia Holdings Corp. |
E201071
|
entity |
| Predicate | transactionStructure |
P32903
|
FINISHED |
| Object | reverse merger |
—
|
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: reverse merger | Statement: [Social Capital Hedosophia Holdings Corp., transactionStructure, reverse merger]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transactionStructure Context triple: [Social Capital Hedosophia Holdings Corp., transactionStructure, reverse merger]
-
A.
transactionNature
Indicates the type or character of a transaction, specifying what kind of exchange or operation is taking place between the involved parties.
-
B.
transactionModel
Indicates a relationship where an entity uses or is governed by a specific structured framework or schema for conducting, recording, or managing transactions.
-
C.
finStructure
Indicates a relationship where one entity specifies or characterizes the fin-related structural features or configuration of another entity.
-
D.
transactionCount
Indicates the number of transactions that have occurred involving the specified entity or between the related entities.
-
E.
dealStructure
chosen
Indicates how the terms, components, and conditions of a transaction or agreement are organized and related to one another.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57c01f881908cb77c8c834ac08d |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:13 p.m.