Triple
T4062209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NWS |
E86238
|
entity |
| Predicate | hasIssuerSegment |
P51968
|
FINISHED |
| Object | news and information services |
—
|
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: news and information services | Statement: [NWS, hasIssuerSegment, news and information services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIssuerSegment Context triple: [NWS, hasIssuerSegment, news and information services]
-
A.
hasIssuerCode
Indicates that an entity is associated with a specific issuer’s identifying code.
-
B.
isIssuedTo
Indicates that something, such as a document, credential, or item, has been formally given or assigned to a specific recipient.
-
C.
issuedBy
Indicates that something (such as a document, order, or statement) has been formally created, authorized, or released by a particular agent or authority.
-
D.
hasSegmentOn
chosen
Indicates that one entity includes or occupies a specific segment or portion on another entity (such as a line, path, or sequence).
-
E.
hasUnderlyingIssuer
Indicates that one entity serves as the fundamental or primary issuer behind another entity, such as a financial instrument or structured product.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd0bdea48190805a79515ee92709 |
completed | March 9, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69aef90438908190a005b08ba271eacf |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.