Triple
T7490797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunday Walking Street Market |
E176999
|
entity |
| Predicate | typicalClosingTime |
P14959
|
FINISHED |
| Object | 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: late night | Statement: [Sunday Walking Street Market, typicalClosingTime, late night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalClosingTime Context triple: [Sunday Walking Street Market, typicalClosingTime, late night]
-
A.
closingTime
Indicates the specific time at which a place, service, or activity stops operating or becomes unavailable.
-
B.
typicalEndHourLocal
chosen
Indicates the usual local-time clock hour at which an activity, event, or operation typically ends.
-
C.
openingTime
Indicates the time at which a place, service, or event begins operating or becomes accessible.
-
D.
restaurantClosureDate
Indicates the date on which a restaurant ceases or ceased operations, marking its official closure.
-
E.
typicalTimes
Indicates the usual or characteristic times at which an event, activity, or condition typically occurs.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:43 p.m.