Triple
T16850199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alphabet Other Bets |
E409654
|
entity |
| Predicate | includesBusiness |
P110112
|
FINISHED |
| Object | CapitalG |
E35322
|
NE 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: CapitalG | Statement: [Alphabet Other Bets, includesBusiness, CapitalG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CapitalG Context triple: [Alphabet Other Bets, includesBusiness, CapitalG]
-
A.
CapitalG
chosen
CapitalG is Alphabet Inc.’s independent growth equity investment fund that backs later-stage technology companies.
-
B.
Capital
Capital is Karl Marx’s foundational critique of the capitalist economic system, analyzing its structures, dynamics, and inherent contradictions.
-
C.
Track Capital of the World
Track Capital of the World is a nickname highlighting Fayetteville, Arkansas’s prominence and success in collegiate track and field.
-
D.
Reading Capital
Reading Capital is a seminal Marxist philosophical text in which Louis Althusser and collaborators offer a structuralist reinterpretation of Karl Marx’s Capital.
-
E.
Insurance Capital of the World
Insurance Capital of the World is a nickname for Hartford, Connecticut, reflecting its historic and ongoing prominence as a major center of the insurance industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b378dda48190ab81d75f2cfe3ab3 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1f02648190937c692af83843dc |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.