Triple
T15650124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of Saint John the Baptist |
E376287
|
entity |
| Predicate | hasCustomInSomeCountries |
P45693
|
FINISHED |
| Object | blessing of water |
—
|
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: blessing of water | Statement: [Feast of Saint John the Baptist, hasCustomInSomeCountries, blessing of water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomInSomeCountries Context triple: [Feast of Saint John the Baptist, hasCustomInSomeCountries, blessing of water]
-
A.
hasComponentInCountry
Indicates that an entity has a component, part, or sub-unit that is located in a specified country.
-
B.
usedInCountryOrRegion
chosen
Indicates that something (such as an item, concept, or practice) is utilized or applied within a specified country or region.
-
C.
isSetInCountry
Indicates that something (such as an event, story, or scene) takes place within the geographical or political boundaries of a specified country.
-
D.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.