Triple
T2304868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indian/Christmas |
E51814
|
entity |
| Predicate | appliesToCountryCode |
P34973
|
FINISHED |
| Object | AU |
—
|
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: AU | Statement: [Indian/Christmas, appliesToCountryCode, AU]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToCountryCode Context triple: [Indian/Christmas, appliesToCountryCode, AU]
-
A.
usedByCountryCode
chosen
Indicates that something is utilized or applied within the country identified by the given country code.
-
B.
appliesToPersonNationality
Indicates that something is relevant or applicable specifically to a person’s nationality.
-
C.
supportsCountry
Indicates that one entity provides assistance, endorsement, or backing to a specific country.
-
D.
hasRegionCode
Indicates that an entity is associated with a specific regional identifier or code.
-
E.
availableInCountry
Indicates that something can be legally or practically obtained, accessed, or used within a specified country.
- 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_69a88b0bb30c81908ded03b006d29387 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abce1f4f0c8190a714e4dcb8449f7e |
completed | March 7, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69abc58ce2a081908ce2f0cadd92e9f8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.