Triple
T18258711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tretten Church |
E437287
|
entity |
| Predicate | sacristyLocation |
P59036
|
FINISHED |
| Object | east end |
—
|
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: east end | Statement: [Tretten Church, sacristyLocation, east end]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sacristyLocation Context triple: [Tretten Church, sacristyLocation, east end]
-
A.
hasSacristy
chosen
Indicates that a religious building includes or is associated with a sacristy (a room where sacred vessels, vestments, and liturgical items are kept and prepared).
-
B.
placeOfConsecration
Indicates the specific place where a religious or ceremonial consecration of something or someone took place.
-
C.
housedInChapel
Indicates that something is located, kept, or contained within a chapel.
-
D.
locatedInTheChurch
Indicates that one entity is physically situated within or inside the church.
-
E.
floorLocationOfChurch
Indicates the specific floor or level within a building where the church is located.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd8879e88190893f8da7c3529496 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.