Triple
T5997929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Sava Temple |
E133518
|
entity |
| Predicate | heightIncludingCross |
P9788
|
FINISHED |
| Object | about 82 meters |
—
|
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: about 82 meters | Statement: [St. Sava Temple, heightIncludingCross, about 82 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heightIncludingCross Context triple: [St. Sava Temple, heightIncludingCross, about 82 meters]
-
A.
heightAboveSurroundings
Indicates that an entity’s vertical position or elevation is higher than that of its immediate surrounding area.
-
B.
totalHeight
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
C.
heightWithPedestal
Indicates the total vertical measurement of an object including the height of its supporting pedestal.
-
D.
ceilingHeight
Indicates the vertical distance from the floor to the ceiling in a given space.
-
E.
hasHeight
chosen
Indicates that one entity possesses a specific vertical measurement or stature.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee274e08190b6478c7ae318ae48 |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.