Triple
T5146204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notting Hill Carnival route (part) |
E116075
|
entity |
| Predicate | typicalUseDays |
P61815
|
FINISHED |
| Object | August Bank Holiday weekend |
—
|
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: August Bank Holiday weekend | Statement: [Notting Hill Carnival route (part), typicalUseDays, August Bank Holiday weekend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUseDays Context triple: [Notting Hill Carnival route (part), typicalUseDays, August Bank Holiday weekend]
-
A.
typicalDurationDays
Indicates the usual or expected number of days that an associated event, process, or state typically lasts.
-
B.
durationOfUse
Indicates the length of time for which something is used or remains in use.
-
C.
hasDailyUse
Indicates that something is used or occurs on a daily, regular basis.
-
D.
periodOfMajorUse
Indicates the time span during which something was primarily or most intensively used.
-
E.
isDayUseOnly
Indicates that the entity may only be used or accessed during daytime hours and not overnight.
- 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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd78d6a1388190804dcf568ca92129 |
completed | March 20, 2026, 4:41 p.m. |
Created at: March 20, 2026, 1:43 p.m.