Triple
T30150764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Sassoon |
E766388
|
entity |
| Predicate | developedPropertyIn |
P151259
|
FINISHED |
| Object | Shanghai Bund |
—
|
NE NERFINISHED |
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: Shanghai Bund | Statement: [Victor Sassoon, developedPropertyIn, Shanghai Bund]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedPropertyIn Context triple: [Victor Sassoon, developedPropertyIn, Shanghai Bund]
-
A.
builtProperty
Indicates that a constructed structure or building has been created on, or is associated with, a particular property or piece of land.
-
B.
squareProperty
Indicates that one entity is the square (second power) of a numerical property or value associated with another entity.
-
C.
developsPropertyType
Indicates that an entity is responsible for creating, constructing, or bringing into existence a specific type of property.
-
D.
realEstateProject
chosen
Indicates a relationship where an entity is involved in, associated with, or represents a specific real estate development project.
-
E.
neighborhoodDeveloped
Indicates that a particular neighborhood has undergone development, such as construction, improvement, or expansion of its infrastructure or buildings.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 29, 2026, 7:19 p.m.