Triple
T13975849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christ Church, Shimla |
E336184
|
entity |
| Predicate | hasWindowDepicting |
P112014
|
FINISHED |
| Object | faith |
—
|
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: faith | Statement: [Christ Church, Shimla, hasWindowDepicting, faith]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWindowDepicting Context triple: [Christ Church, Shimla, hasWindowDepicting, faith]
-
A.
hasWindowsShape
Indicates that an object possesses a particular geometric or stylistic form characteristic of windows.
-
B.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
-
C.
depictsView
Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
-
D.
supportsWindowedMode
Indicates that an entity provides or allows operation in a windowed (non-fullscreen) display mode.
-
E.
hasRoseWindow
Indicates that an entity features or includes a rose window as part of its structure.
- F. None of above. chosen
Provenance (4 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e90dc148190b38e339aac0de484 |
completed | April 14, 2026, 12:09 p.m. |
| PD | Predicate disambiguation | batch_69dd465a21408190b912a42c50ffa0d9 |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:18 p.m.