Triple
T4691885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museu Nacional dos Coches |
E104051
|
entity |
| Predicate | formerFunctionOfOldBuilding |
P55864
|
FINISHED |
| Object | royal riding arena |
—
|
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 riding arena | Statement: [Museu Nacional dos Coches, formerFunctionOfOldBuilding, royal riding arena]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerFunctionOfOldBuilding Context triple: [Museu Nacional dos Coches, formerFunctionOfOldBuilding, royal riding arena]
-
A.
previousBuildingUse
chosen
Indicates that a building previously served a specified use or function before its current one.
-
B.
formerFunction
Indicates that an entity previously held a specific role, position, or function but no longer does so.
-
C.
originalBuilding
Indicates that a building is the initial or first version from which later buildings, modifications, or replacements are derived.
-
D.
formerSiteOf
Indicates that a location previously hosted or contained something (such as a structure, organization, or event) that is no longer present there.
-
E.
formerHabitat
Indicates that a location once served as a habitat for an entity but no longer does.
- 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.