Triple
T26792483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NASDAQ: AMZN |
E670552
|
entity |
| Predicate | tradesDuringSession |
P100189
|
FINISHED |
| Object | NASDAQ regular trading hours |
—
|
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: NASDAQ regular trading hours | Statement: [NASDAQ: AMZN, tradesDuringSession, NASDAQ regular trading hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradesDuringSession Context triple: [NASDAQ: AMZN, tradesDuringSession, NASDAQ regular trading hours]
-
A.
tradesDuring
chosen
Indicates that a trading activity or transaction occurs within a specified time period or during a particular event or session.
-
B.
tradesUnderSymbol
Indicates that a financial instrument or security is listed and actively traded on a market using a specific ticker symbol.
-
C.
hasTradingSession
Indicates that an entity participates in or is associated with a specific trading session or period during which trading activities occur.
-
D.
timeOfExecutions
Indicates the specific time or times at which one or more executions (such as tasks, processes, or actions) occur.
-
E.
tradingSegment
Indicates that one entity operates within, or is associated with, a specific trading segment or market subdivision for transactional activities.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 4:17 a.m.