Triple
T779335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Building |
E16460
|
entity |
| Predicate | hasAtrium |
P5521
|
FINISHED |
| Object | central atrium with mobile sculptures |
—
|
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: central atrium with mobile sculptures | Statement: [East Building, hasAtrium, central atrium with mobile sculptures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAtrium Context triple: [East Building, hasAtrium, central atrium with mobile sculptures]
-
A.
hadAtrium
Indicates that an entity possessed or included an atrium as part of its structure or design.
-
B.
atriumName
Indicates the designated name or label assigned to an atrium within a structure or complex.
-
C.
hasRoom
chosen
Indicates that an entity possesses, contains, or is associated with a specific room.
-
D.
hasAuditorium
Indicates that one entity possesses or includes an auditorium as part of its facilities.
-
E.
hasCabinet
Indicates that one entity possesses, includes, or is equipped with a cabinet associated with it.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.