Triple
T34915033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N8 |
E1006977
|
entity |
| Predicate | mayVaryByCountry |
P20589
|
FINISHED |
| Object | alignment |
—
|
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: alignment | Statement: [N8, mayVaryByCountry, alignment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayVaryByCountry Context triple: [N8, mayVaryByCountry, alignment]
-
A.
countryVariant
Indicates that one entity is a country-specific variant or localized version of another entity.
-
B.
observanceMayVaryByCountry
chosen
Indicates that the way something is observed, celebrated, or practiced can differ depending on the country.
-
C.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
D.
rateVariesBy
Indicates that the rate of something changes depending on a specified factor, condition, or category.
-
E.
hasRegionalVariationsIn
Indicates that something exhibits different forms, versions, or characteristics depending on the geographic region.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.