Triple
T4969111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Usaquén central square |
E111600
|
entity |
| Predicate | marketSchedule |
P26250
|
FINISHED |
| Object | weekends |
—
|
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: weekends | Statement: [Usaquén central square, marketSchedule, weekends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketSchedule Context triple: [Usaquén central square, marketSchedule, weekends]
-
A.
marketHeldOn
chosen
Indicates that a market event takes place at a specific time and/or location.
-
B.
showSchedule
Indicates that an entity presents or displays a timetable or planned sequence of events for another entity.
-
C.
scheduleUS
Indicates that an entity arranges or assigns a time for something specifically within the context of the United States.
-
D.
schedule
Indicates that an entity arranges for an event, task, or activity to occur at a specific time or within a defined time frame.
-
E.
offersSchedule
Indicates that one entity provides or makes available a specific schedule to another entity or for a particular purpose.
- 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.