Triple
T10958479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Petaling Street |
E258904
|
entity |
| Predicate | openingTimePattern |
P17011
|
FINISHED |
| Object | active from morning until late night |
—
|
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: active from morning until late night | Statement: [Petaling Street, openingTimePattern, active from morning until late night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingTimePattern Context triple: [Petaling Street, openingTimePattern, active from morning until late night]
-
A.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
B.
openingHoursCharacteristic
chosen
Indicates a relationship that specifies particular attributes or features of an entity’s opening hours, such as patterns, exceptions, or special conditions.
-
C.
openedBetween
Indicates that an entity was opened during a time interval that falls between two specified temporal bounds.
-
D.
openingDay
Indicates the specific day on which something, typically an event, season, or venue, officially begins or first opens to the public.
-
E.
openingByOffice
Indicates that an office or administrative unit is responsible for initiating or formally opening something (such as a case, process, or record).
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77126d9288190aa5daf2ba83d731d |
completed | April 9, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_69d72e874f48819096ffa878f90c7d5b |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.