Triple
T7931256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Google Capital |
E184193
|
entity |
| Predicate | formerNameOf |
P65
|
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: [Google Capital, formerNameOf, CapitalG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CapitalG Context triple: [Google Capital, formerNameOf, 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.
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.
-
E.
Corporate Capital of the World
Corporate Capital of the World is a nickname for Wilmington, Delaware, reflecting its status as a major hub for U.S. corporate registrations and financial services.
- 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_69ca8290c21c8190906a5ca6fe2b03c4 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3accc388819087065ebe7d5d9591 |
completed | March 31, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5c01602081908ea1af24785260ff |
completed | March 31, 2026, 5:30 a.m. |
Created at: March 30, 2026, 5:07 p.m.