Triple
T34979228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palace of Tau |
E1008768
|
entity |
| Predicate | museumCollectionIncludes |
P32052
|
FINISHED |
| Object | coronation regalia of French kings |
—
|
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: coronation regalia of French kings | Statement: [Palace of Tau, museumCollectionIncludes, coronation regalia of French kings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: museumCollectionIncludes Context triple: [Palace of Tau, museumCollectionIncludes, coronation regalia of French kings]
-
A.
museumHolds
chosen
Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
-
B.
hasMuseumComponent
Indicates that something includes, contains, or is composed of a museum or museum-related part as one of its components.
-
C.
hasMuseumType
Indicates that an entity is classified as a museum of a specific type or category.
-
D.
inMuseumCollectionSince
Indicates the date or time from which an item has been part of a museum’s collection.
-
E.
hasMuseumFunction
Indicates that an entity serves the role or performs the function of a museum.
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4:01 p.m.