Triple
T1427799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P 500 ETFs |
E30371
|
entity |
| Predicate | tradingFeature |
P7153
|
FINISHED |
| Object | can be bought and sold throughout the trading day |
—
|
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: can be bought and sold throughout the trading day | Statement: [S&P 500 ETFs, tradingFeature, can be bought and sold throughout the trading day]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tradingFeature Context triple: [S&P 500 ETFs, tradingFeature, can be bought and sold throughout the trading day]
-
A.
tradesInstrument
Indicates that one party engages in buying, selling, or exchanging a specified financial or tradable instrument.
-
B.
trades
Indicates an exchange relationship where one party gives something of value to another in return for something else of value.
-
C.
keyFeature
chosen
Indicates that something is a primary, distinguishing, or most important feature of an entity.
-
D.
tradesAs
Indicates that one entity conducts business or is publicly known under the trading name or brand of another entity.
-
E.
featuresCross
Indicates that one feature or element intersects or passes across another in space or structure.
- 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_69a498fb823c8190a67ce4c4837e641a |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c52e4ed881908d85e0cb9fe851ac |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c4752abc8190a33b634c4d6fad28 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.