Triple
T18653462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ordre royal et militaire de Saint-Louis |
E455998
|
entity |
| Predicate | insigniaCentralImage |
P63350
|
FINISHED |
| Object | image of Saint Louis |
—
|
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: image of Saint Louis | Statement: [Ordre royal et militaire de Saint-Louis, insigniaCentralImage, image of Saint Louis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaCentralImage Context triple: [Ordre royal et militaire de Saint-Louis, insigniaCentralImage, image of Saint Louis]
-
A.
insigniaCenter
chosen
Indicates that one entity is positioned at or serves as the central element of another entity’s insignia or emblem.
-
B.
insigniaBackground
Indicates the background color, pattern, or design element that appears behind an insignia.
-
C.
insigniaCaption
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
-
D.
insigniaMedium
Indicates the physical material or format used as the medium for an insignia.
-
E.
insigniaName
Indicates the specific name or designation assigned to an insignia associated with an entity.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e55013997881909eee52c0a7335f4b |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.