Triple
T4649607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DANSKE |
E102259
|
entity |
| Predicate | hasUnderlyingCompanyLEI |
P24933
|
FINISHED |
| Object | PT3QK4C1B0KD2L6OQI87 |
—
|
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: PT3QK4C1B0KD2L6OQI87 | Statement: [DANSKE, hasUnderlyingCompanyLEI, PT3QK4C1B0KD2L6OQI87]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyLEI Context triple: [DANSKE, hasUnderlyingCompanyLEI, PT3QK4C1B0KD2L6OQI87]
-
A.
hasUnderlyingLEI
chosen
Indicates that an entity is associated with, or identified by, a specific underlying Legal Entity Identifier (LEI).
-
B.
hasUnderlyingCompanyLegalForm
Indicates that an entity is associated with, or governed by, a specific underlying legal form of a company.
-
C.
underlyingCompany
Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
-
D.
hasUnderlyingCompanyPrimaryListing
Indicates that an entity is associated with the company where that company’s primary stock exchange listing is held.
-
E.
locationOfUnderlyingCompany
Indicates the geographic place where the underlying company is based, registered, or operates.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.