Triple
T28736432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Odeon (concert hall) |
E730813
|
entity |
| Predicate | interiorLayoutAfterReconstruction |
P88128
|
FINISHED |
| Object | office spaces |
—
|
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: office spaces | Statement: [Odeon (concert hall), interiorLayoutAfterReconstruction, office spaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: interiorLayoutAfterReconstruction Context triple: [Odeon (concert hall), interiorLayoutAfterReconstruction, office spaces]
-
A.
rebuiltInterior
chosen
Indicates that the interior of an entity has been reconstructed or significantly renovated, typically after damage, aging, or redesign.
-
B.
interiorStatusAfterWar
Indicates the condition or state of a place’s interior following the events of a war.
-
C.
laterRebuiltAs
Indicates that one entity was reconstructed or redeveloped at a later time to become or be replaced by another specific entity.
-
D.
interiorOrganization
Indicates how the internal parts or elements of something are arranged, structured, or organized in relation to one another.
-
E.
styleOfReconstruction
Indicates the specific method or approach used to reconstruct or restore something from its original or prior state.
- 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_69f043eae0908190b28ce314686247d7 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 28, 2026, 6 a.m.