Triple
T26636889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antiquity Pavilion |
E668661
|
entity |
| Predicate | museumTypeOfHost |
P7675
|
FINISHED |
| Object | history museum |
—
|
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: history museum | Statement: [Antiquity Pavilion, museumTypeOfHost, history museum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: museumTypeOfHost Context triple: [Antiquity Pavilion, museumTypeOfHost, history museum]
-
A.
hasMuseumType
chosen
Indicates that an entity is classified as a museum of a specific type or category.
-
B.
museumHolds
Indicates that a museum possesses, preserves, or has custody of a particular item or collection within its holdings.
-
C.
museumInventoryType
Indicates the type or category under which an item is classified within a museum’s inventory system.
-
D.
museumDisplayType
Indicates the manner or format in which items are presented or exhibited within a museum setting.
-
E.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6162b904c8190ad713c98b76eba16 |
completed | May 2, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:27 a.m.