Triple
T33189075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RRTL |
E849553
|
entity |
| Predicate | hasIssuerDomicile |
P19617
|
FINISHED |
| Object | Luxembourg |
—
|
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: Luxembourg | Statement: [RRTL, hasIssuerDomicile, Luxembourg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIssuerDomicile Context triple: [RRTL, hasIssuerDomicile, Luxembourg]
-
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.
hasIssuerLEICountry
Indicates the country associated with the Legal Entity Identifier (LEI) of the issuer.
-
C.
issuerCountry
chosen
Indicates the country that has issued or is responsible for the issuance of a given entity (such as a document, instrument, or security).
-
D.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
E.
hasIssuerCode
Indicates that an entity is associated with a specific issuer’s identifying code.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7051ad6e4819095e82bbd64761803 |
completed | May 3, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69f700fe24e08190998e2c96fbaaad38 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:29 a.m.