Triple
T24726514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CMG |
E618167
|
entity |
| Predicate | hasUnderlyingCompanyStockSplitHistory |
P41812
|
FINISHED |
| Object | includes 2024 50-for-1 stock split |
—
|
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: includes 2024 50-for-1 stock split | Statement: [CMG, hasUnderlyingCompanyStockSplitHistory, includes 2024 50-for-1 stock split]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyStockSplitHistory Context triple: [CMG, hasUnderlyingCompanyStockSplitHistory, includes 2024 50-for-1 stock split]
-
A.
hasCorporateActionHistory
chosen
Indicates that an entity is associated with a record or sequence of past corporate actions or events that have affected it.
-
B.
hasMajorShareholderHistory
Indicates that an entity has had one or more major shareholders at some point in its history.
-
C.
hasSubsidiaryHistory
Indicates that an entity has a historical record of owning, controlling, or being associated with one or more subsidiary entities over time.
-
D.
hasInflationHistory
Indicates that an entity is associated with a recorded or known pattern of inflation over time.
-
E.
hasHistoricalDivision
Indicates that an entity has undergone a formal separation or split into distinct parts at some point in its history.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 3:59 a.m.