Triple
T32178704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US1011371077 |
E821924
|
entity |
| Predicate | hasIssuerPrimaryListingCountry |
P37744
|
FINISHED |
| Object | United States of America |
—
|
NE NERFINISHED |
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: United States of America | Statement: [US1011371077, hasIssuerPrimaryListingCountry, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIssuerPrimaryListingCountry Context triple: [US1011371077, hasIssuerPrimaryListingCountry, United States of America]
-
A.
hasIssuerPrimaryBusiness
Indicates that an entity’s main or primary line of business is identified or characterized by the associated business activity or classification.
-
B.
countryOfListing
chosen
Indicates that a company or financial instrument is officially listed and traded in the specified country’s market or exchange.
-
C.
hasPrimaryExchangeCountryCode
Indicates the country code of the main securities exchange on which an entity is primarily listed or traded.
-
D.
hasIssuerLEICountry
Indicates the country associated with the Legal Entity Identifier (LEI) of the issuer.
-
E.
issuerIncorporationCountry
Indicates the country in which the issuing entity is legally incorporated.
- 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 12:34 a.m.