Triple
T2604817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Exhibition of 1851 |
E58635
|
entity |
| Predicate | areaOfMainBuilding |
P24212
|
FINISHED |
| Object | about 92,000 square meters |
—
|
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: about 92,000 square meters | Statement: [Great Exhibition of 1851, areaOfMainBuilding, about 92,000 square meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfMainBuilding Context triple: [Great Exhibition of 1851, areaOfMainBuilding, about 92,000 square meters]
-
A.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
B.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
-
C.
hasFloorArea
chosen
Indicates that an entity possesses a specified amount of floor space as a measurable area.
-
D.
grossLeasableArea
Indicates the total floor area within a property that is available to be leased to tenants, excluding common or non-leasable spaces.
-
E.
mainBuildingName
Indicates the name that is designated as the primary or main building associated with an entity.
- 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_69ab4ac3523881909679750c9f8c2dec |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| PD | Predicate disambiguation | batch_69abd80ab7248190ba06ba14fe4c5638 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:49 p.m.