Triple
T37037360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torben Hansen |
E916680
|
entity |
| Predicate | hasPossibleNationality |
P169460
|
FINISHED |
| Object | Denmark |
E5474
|
NE 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: Denmark | Statement: [Torben Hansen, hasPossibleNationality, Denmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleNationality Context triple: [Torben Hansen, hasPossibleNationality, Denmark]
-
A.
hasNationalityRecord
Indicates that there exists an official record documenting an entity's nationality or national affiliation.
-
B.
isByNationality
chosen
Indicates that one entity has a specified nationality or originates from the country represented by the other entity.
-
C.
hasParticipantNationality
Indicates that a participant in an event, activity, or relation has a specific nationality.
-
D.
hasOwnerNationalityStereotype
Indicates that an entity is associated with a stereotype about the nationality of its owner.
-
E.
appliedToNationality
Indicates that an action, policy, or status is directed toward or enforced upon individuals of a specific nationality.
- F. None of above.
Provenance (4 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffac35ac5481908b6bdfd5bbe8c76e |
completed | May 9, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3efda85a748190a6ee43529b23fb3a |
completed | June 26, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69ffabbfd2548190964c851496bbbaee |
completed | May 9, 2026, 9:48 p.m. |
Created at: May 3, 2026, 4:14 p.m.