Triple
T37718882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Omega Flight |
E939529
|
entity |
| Predicate | isCanadianCounterpartOf |
P63571
|
FINISHED |
| Object | Avengers |
—
|
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: Avengers | Statement: [Omega Flight, isCanadianCounterpartOf, Avengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCanadianCounterpartOf Context triple: [Omega Flight, isCanadianCounterpartOf, Avengers]
-
A.
regionCanadianSide
Indicates that the specified region is located on the Canadian side of a border or boundary.
-
B.
knownAsInCanada
Indicates that an entity is referred to or recognized by a particular name specifically within the context of Canada.
-
C.
includesCanadianTerritoryPartially
Indicates that one entity geographically encompasses part, but not all, of the territory of Canada.
-
D.
hasLanguageOnCanadianSide
Indicates that a specified language is used or present on the Canadian side of a border, region, or context.
-
E.
countryVariant
chosen
Indicates that one entity is a country-specific variant or localized version of another entity.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaef0cec881908c2742d77d145901 |
completed | May 6, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69fbadf632ec8190b14991c971258307 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.