Triple
T24947916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edgefield Industrial Estate |
E624242
|
entity |
| Predicate | hasTypicalPropertySize |
P3664
|
FINISHED |
| Object | small to medium units |
—
|
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: small to medium units | Statement: [Edgefield Industrial Estate, hasTypicalPropertySize, small to medium units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalPropertySize Context triple: [Edgefield Industrial Estate, hasTypicalPropertySize, small to medium units]
-
A.
typicalUnitSize
chosen
Indicates the standard or most common size or quantity in which something is typically measured, packaged, or used.
-
B.
hasTypicalMemberSize
Indicates the usual or characteristic size associated with members of a given class or group.
-
C.
typicalDimension
Indicates that one entity represents a standard or characteristic measurement (such as size, length, or capacity) typically associated with another entity.
-
D.
hasTypicalFrontage
Indicates that something normally faces or fronts onto something else, such as a property having its usual frontage on a particular street or area.
-
E.
propertyType_desiredSize
Indicates that a desired or preferred size is specified for a given property type.
- 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_69e2ff22e4c48190a0444b5a044f14e8 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 18, 2026, 5:55 a.m.