Triple
T26006518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Света Неделя |
E646773
|
entity |
| Predicate | посетители |
P96955
|
FINISHED |
| Object | православни християни |
—
|
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: православни християни | Statement: [Света Неделя, посетители, православни християни]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: посетители Context triple: [Света Неделя, посетители, православни християни]
-
A.
primaryVisitors
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
B.
visits
Indicates that one entity goes to or spends time at the location or presence of another entity.
-
C.
visitor
chosen
Indicates that one entity is present at or attending another entity’s location, event, or context as a non-permanent guest.
-
D.
visitorCount
Indicates the number of visitors associated with a particular entity, context, or time period.
-
E.
hasVisitorsFrom
Indicates that an entity receives or has received visitors originating from another specified entity or location.
- 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_69e77e89d5848190b54352cdb74f6029 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6057bd2708190bf400b153aca2f1b |
completed | May 2, 2026, 2:09 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
Created at: April 22, 2026, 9 a.m.