Triple
T18551971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tycho Brahe Museum |
E453399
|
entity |
| Predicate | usesBuildingFrom |
P85130
|
FINISHED |
| Object | early 17th century |
—
|
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: early 17th century | Statement: [Tycho Brahe Museum, usesBuildingFrom, early 17th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBuildingFrom Context triple: [Tycho Brahe Museum, usesBuildingFrom, early 17th century]
-
A.
usesBuilding
Indicates that one entity makes use of, occupies, or operates within a particular building.
-
B.
hasBuildingFrom
chosen
Indicates a relationship where a location or site possesses or includes a building that originates from, or was constructed in, a specified time period, source, or context.
-
C.
usedOnBuildingOf
Indicates that something is applied to, installed on, or otherwise utilized on the structure of a particular building.
-
D.
builtFrom
Indicates that one entity is constructed, composed, or formed using another entity as its material, component, or source.
-
E.
isBuildingOf
Indicates that one entity is a building that belongs to, houses, or is associated with another entity (such as an organization, institution, or complex).
- 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_69d8d388b0c881908e610a1c45b52640 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e538019a74819099dbd255fb21fa95 |
completed | April 19, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69e469e274a48190a570b25cfef4d890 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:38 a.m.