Triple
T35077796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netscape IPO |
E1012351
|
entity |
| Predicate | grossProceeds |
P87932
|
FINISHED |
| Object | approximately 140,000,000 USD |
—
|
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: approximately 140,000,000 USD | Statement: [Netscape IPO, grossProceeds, approximately 140,000,000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grossProceeds Context triple: [Netscape IPO, grossProceeds, approximately 140,000,000 USD]
-
A.
totalGross
Indicates the overall amount of money generated in revenue, typically from all sources over a specified period or for a specific work or event.
-
B.
profitsFrom
Indicates that one entity gains financial or material benefit as a result of another entity’s actions, existence, or situation.
-
C.
overallotmentProceedsAmount
chosen
Indicates the monetary amount received from the proceeds of an overallotment (e.g., an over-allotment option or greenshoe) in a financial transaction.
-
D.
revenue
Indicates the amount of income generated by an entity from its business activities or operations over a specified period.
-
E.
grossRevenueFrom$100Sales
Indicates the total gross revenue generated specifically from sales transactions valued at $100.
- 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_69f76dd32c008190853aef6028f60208 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865e7d1c819094d03e34c08a3484 |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f78418fdf0819090420479783c7d47 |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.