Triple
T22396698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of Saint Theodoroi |
E553650
|
entity |
| Predicate | cityCemeteryContext |
P91882
|
FINISHED |
| Object | main chapel of the First Cemetery of Athens |
—
|
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: main chapel of the First Cemetery of Athens | Statement: [Church of Saint Theodoroi, cityCemeteryContext, main chapel of the First Cemetery of Athens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityCemeteryContext Context triple: [Church of Saint Theodoroi, cityCemeteryContext, main chapel of the First Cemetery of Athens]
-
A.
hasCemetery
Indicates that one entity possesses, contains, or includes a cemetery associated with it.
-
B.
hasNearbyCemetery
Indicates that one entity is located close to, or in the immediate vicinity of, a cemetery associated with another entity.
-
C.
cemeteryComplex
chosen
Indicates a relationship where a site or structure functions as, or is part of, a cemetery complex used for burials or memorials.
-
D.
isCemeteryFor
Indicates that one entity serves as the burial ground designated for another entity, such as a community, group, or location.
-
E.
isUrbanCemetery
Indicates that a cemetery is located within an urban area or city environment.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1585f67108190b8d3f23eaa0ed120 |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.