Triple
T6581624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S&P U.S. Indices |
E157308
|
entity |
| Predicate | marketCovered |
P71613
|
FINISHED |
| Object | U.S. equity market |
—
|
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: U.S. equity market | Statement: [S&P U.S. Indices, marketCovered, U.S. equity market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketCovered Context triple: [S&P U.S. Indices, marketCovered, U.S. equity market]
-
A.
marketStatus
Indicates the current trading or availability condition of an asset, product, or market (e.g., open, closed, active, suspended).
-
B.
coreMarket
Indicates that an entity serves as the primary or most important market for another entity’s products, services, or activities.
-
C.
marketType
Indicates the classification or category of market in which an entity operates or a transaction occurs (e.g., retail, wholesale, online).
-
D.
marketSegmentCoverage
Indicates the extent to which a product, service, or campaign reaches or serves the intended market segment(s).
-
E.
marketsThrough
Indicates that one entity promotes, sells, or distributes its products or services by using another entity as a marketing or sales channel.
- F. None of above. chosen
Provenance (4 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6c07cdf048190945ca5810fb1de88 |
completed | March 27, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c6acfb462481909cb7aff5af4bca9d |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c07bb434819096ec3e3b966042a5 |
completed | March 27, 2026, 5:38 p.m. |
Created at: March 27, 2026, 1:54 p.m.