Triple
T24269806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJUSTSM |
E605246
|
entity |
| Predicate | hasMarketCoverage |
P89717
|
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: [DJUSTSM, hasMarketCoverage, U.S. equity market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMarketCoverage Context triple: [DJUSTSM, hasMarketCoverage, U.S. equity market]
-
A.
hasMarket
Indicates that an entity possesses, operates in, or is associated with a particular market or marketplace.
-
B.
hasMarketFocus
Indicates that an entity concentrates its business activities, products, or services on a particular market or customer segment.
-
C.
coversMarket
chosen
Indicates that one entity operates in, serves, or has business presence within a particular market or geographic/sectoral area.
-
D.
marketCovered
Indicates that one entity’s products or services are already available or served within the geographic or customer market associated with another entity.
-
E.
hasMarketingRegion
Indicates that an entity is associated with or assigned to a specific marketing region for targeting, management, or analysis purposes.
- 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_69e2954707dc8190915551eb114cfff6 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28d58666881909f28f4d4f0f7d590 |
completed | April 29, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:07 a.m.