Triple
T8956987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church Street (Pretoria) |
E213497
|
entity |
| Predicate | hasCityCentreFunction |
P78903
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Church Street (Pretoria), hasCityCentreFunction, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityCentreFunction Context triple: [Church Street (Pretoria), hasCityCentreFunction, yes]
-
A.
hasCityCentreLocation
Indicates that something is located in, or directly associated with, the central area of a city.
-
B.
cityCentreAccess
Indicates whether an entity has access to, or is reachable within, the central area of a city.
-
C.
hasMajorCommercialCentre
Indicates that a place contains or hosts a primary hub of significant commercial or business activity.
-
D.
notableCityCenter
Indicates that a location serves as a prominent or significant central area within a city.
-
E.
hasDowntownCharacteristic
chosen
Indicates that something possesses a feature, quality, or attribute typically associated with a downtown area.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6728965881908e9f14aaee0c5a18 |
completed | April 1, 2026, 12:30 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7 p.m.