Triple
T510482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée d'Orsay |
E10595
|
entity |
| Predicate | formerFunctionOfBuilding |
P5925
|
FINISHED |
| Object | railway station |
—
|
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: railway station | Statement: [Musée d'Orsay, formerFunctionOfBuilding, railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFunctionOfBuilding Context triple: [Musée d'Orsay, formerFunctionOfBuilding, railway station]
-
A.
formerFunction
chosen
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
B.
formerSiteOf
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
C.
originalBuildingConstructed
Indicates that a particular building was initially constructed in its original form or configuration.
-
D.
formerDesignation
Indicates that an entity previously held a particular title, role, or designation that it no longer holds.
-
E.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f165b91c81908c2d2ba15c64b956 |
completed | Feb. 28, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69a2edfe236481909901cc7d4281b33c |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.