Triple
T2685537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean Reef |
E57474
|
entity |
| Predicate | hasLocationWithinBuilding |
P34026
|
FINISHED |
| Object | main aquarium building at Shedd Aquarium |
—
|
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: main aquarium building at Shedd Aquarium | Statement: [Caribbean Reef, hasLocationWithinBuilding, main aquarium building at Shedd Aquarium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocationWithinBuilding Context triple: [Caribbean Reef, hasLocationWithinBuilding, main aquarium building at Shedd Aquarium]
-
A.
setInBuilding
chosen
Indicates that one entity is located within or takes place inside a particular building.
-
B.
containsBuilding
Indicates that one location or area includes a building within its boundaries.
-
C.
isWithinFacility
Indicates that one entity is physically located inside the boundaries or premises of a specified facility.
-
D.
hasCheckInBuilding
Indicates that an entity has performed a check-in event within a specified building.
-
E.
currentBuilding
Indicates that an entity is located in, associated with, or belongs to the building that is relevant in the current context.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9ef2fe0819082bbe746ca682a7e |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd81c9b4c81908e5e0da6ac5f828b |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:54 p.m.