Triple
T38003553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Children’s Day (Notting Hill Carnival) |
E948168
|
entity |
| Predicate | takesPlaceOnStreets |
P189846
|
FINISHED |
| Object | Ladbroke Grove |
—
|
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: Ladbroke Grove | Statement: [Children’s Day (Notting Hill Carnival), takesPlaceOnStreets, Ladbroke Grove]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takesPlaceOnStreets Context triple: [Children’s Day (Notting Hill Carnival), takesPlaceOnStreets, Ladbroke Grove]
-
A.
isCaughtOnStreetsDuring
Indicates that an entity is apprehended or captured on public streets during a specified time or event.
-
B.
betweenStreets
Indicates that one location is situated between two specified streets, typically along a road segment bounded by those streets.
-
C.
isUrbanStreet
Indicates that a given street is located within an urban area or city environment rather than a rural or suburban setting.
-
D.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
-
E.
sitsOnStreet
Indicates that an entity is located or positioned directly on a street surface.
- F. None of above. chosen
Provenance (4 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_69f76efb4b10819092c8c2ba28ac06a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbca6c066c8190a1599202f341417f |
completed | May 6, 2026, 11:10 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
| PDg | Predicate description generation | batch_69fbc993caa881908c16c3e21efaeef9 |
completed | May 6, 2026, 11:07 p.m. |
Created at: May 3, 2026, 4:20 p.m.