Triple
T9120966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 105 Victoria Street |
E218846
|
entity |
| Predicate | hasFloorAreaSquareMetres |
P24212
|
FINISHED |
| Object | 31000 |
—
|
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: 31000 | Statement: [105 Victoria Street, hasFloorAreaSquareMetres, 31000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFloorAreaSquareMetres Context triple: [105 Victoria Street, hasFloorAreaSquareMetres, 31000]
-
A.
hasFloorArea
chosen
Indicates that an entity possesses a specified amount of floor space as a measurable area.
-
B.
roofArea
Indicates the total surface area covered by the roof of a structure.
-
C.
grossLeasableArea
Indicates the total floor area within a property that is available to be leased to tenants, excluding common or non-leasable spaces.
-
D.
fareArea
Indicates the geographic or zonal region within which a particular fare or pricing rule applies.
-
E.
standardArea
Indicates that an entity has a designated or officially defined area or size that serves as a standard reference.
- 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_69ca83dddd548190983b96c664f7f367 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8b32ba88190b2b4406c7b905cca |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc66003e3c819091e1e42c9cf7c781 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:17 p.m.