Triple
T35077794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Netscape IPO |
E1012351
|
entity |
| Predicate | percentageGainFirstDay |
P118190
|
FINISHED |
| Object | over 100 percent |
—
|
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: over 100 percent | Statement: [Netscape IPO, percentageGainFirstDay, over 100 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: percentageGainFirstDay Context triple: [Netscape IPO, percentageGainFirstDay, over 100 percent]
-
A.
firstIncreaseIn
Indicates the point or event at which a quantity or value begins to increase for the first time in a given sequence or process.
-
B.
percentageForChange
chosen
Indicates the proportion or rate, expressed as a percentage, by which something increases, decreases, or otherwise changes relative to a reference value.
-
C.
priceChange
Indicates a change in the price of an entity, typically specifying how much and/or in what direction the price has moved over a given period.
-
D.
percentage
Indicates the proportion or share of one quantity relative to another, typically expressed as a value out of 100.
-
E.
minimumPriceFluctuation
Indicates the smallest allowable change or increment by which a price is permitted to move in the given context.
- 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_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:01 p.m.