Triple
T15002067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horses of Saint Mark |
E374114
|
entity |
| Predicate | currentDisplayLocation |
P116310
|
FINISHED |
| Object | interior gallery of St. Mark's Basilica |
—
|
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: interior gallery of St. Mark's Basilica | Statement: [Horses of Saint Mark, currentDisplayLocation, interior gallery of St. Mark's Basilica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentDisplayLocation Context triple: [Horses of Saint Mark, currentDisplayLocation, interior gallery of St. Mark's Basilica]
-
A.
currentLocationType
Indicates the type or category of place where an entity is currently located.
-
B.
displayLocationCity
Indicates the city where something is shown, presented, or made visible.
-
C.
uiLocation
Indicates the on-screen position or placement of a user interface element within a UI layout or display.
-
D.
showLocation
Indicates that one entity displays or reveals the position or place of another entity.
-
E.
locationDuringUse
Indicates the place or spatial context where an entity is situated specifically while it is being used or in active operation.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded72fec948190b1c9705538c57976 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:54 a.m.