Triple
T30455392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neighborhood #2 (Laïka) |
E774845
|
entity |
| Predicate | isByNationality |
P169460
|
FINISHED |
| Object | Canadian band |
—
|
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: Canadian band | Statement: [Neighborhood #2 (Laïka), isByNationality, Canadian band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isByNationality Context triple: [Neighborhood #2 (Laïka), isByNationality, Canadian band]
-
A.
basedOnNationality
Indicates a relationship where something is determined, derived, or decided according to a person’s nationality.
-
B.
includedNationality
Indicates that one entity’s set of nationalities contains or encompasses the nationality of another entity.
-
C.
usedByNationality
Indicates that something (such as an object, resource, or practice) is utilized or employed by people of a particular nationality.
-
D.
appliedToNationality
Indicates that an action, policy, or status is directed toward or enforced upon individuals of a specific nationality.
-
E.
hasOwnerNationalityStereotype
Indicates that an entity is associated with a stereotype about the nationality of its owner.
- F. None of above. chosen
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_69f22494fb60819095d893de0284f886 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f686c850a48190a9f6eff52ce10050 |
completed | May 2, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 29, 2026, 8:09 p.m.