Triple
T347058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louvre Museum |
E6963
|
entity |
| Predicate | previousFunction |
P5925
|
FINISHED |
| Object | royal residence |
—
|
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: royal residence | Statement: [Louvre Museum, previousFunction, royal residence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousFunction Context triple: [Louvre Museum, previousFunction, royal residence]
-
A.
formerFunction
chosen
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
B.
currentFunction
Indicates that an entity is presently serving in a specific role, position, or capacity.
-
C.
originalFunction
Indicates that one entity serves as the initial or primary function from which another function or behavior is derived or defined.
-
D.
publicFunction
Indicates that a function or method is accessible from outside its defining scope, module, or class (i.e., it has public visibility).
-
E.
laterFunction
Indicates that one function or event occurs after another in time.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| PD | Predicate disambiguation | batch_69a2e95451a4819090f4e4fb9b21a493 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.