Triple
T2408687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel de Salm |
E50334
|
entity |
| Predicate | hasMuseumCollectionType |
P7675
|
FINISHED |
| Object | orders of chivalry |
—
|
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: orders of chivalry | Statement: [Hôtel de Salm, hasMuseumCollectionType, orders of chivalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMuseumCollectionType Context triple: [Hôtel de Salm, hasMuseumCollectionType, orders of chivalry]
-
A.
hasMuseumType
chosen
Indicates that an entity is classified as a museum of a specific type or category.
-
B.
hasArtCollection
Indicates that an entity possesses, maintains, or is associated with a collection of artworks.
-
C.
museumHolds
Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
-
D.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
E.
hasMuseumName
Indicates that an entity (typically a museum) is associated with a specific name or title.
- 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_69a88b0339a88190a1207333cd271cc9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abceab9ce881909ae0a2f34515c11e |
completed | March 7, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69abc5a530e8819094105aa92dfaf6b3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:58 p.m.