Triple
T20554046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Market, Lajpat Nagar |
E504669
|
entity |
| Predicate | busiestOn |
P70162
|
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: [Central Market, Lajpat Nagar, busiestOn, weekends]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: busiestOn Context triple: [Central Market, Lajpat Nagar, busiestOn, weekends]
-
A.
activityPeakPeriod
chosen
Indicates the time period during which an activity reaches its highest level or intensity.
-
B.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
C.
populationPeakPeriod
Indicates the time period during which a population reached its highest recorded level.
-
D.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
E.
isBusiestStationIn
Indicates that a station has the highest level of activity (e.g., passenger or traffic volume) within a specified area or system.
- 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_69e0b4b52c048190952b4d0f430813a3 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5dbe96c8190a278dfefdb4a5c43 |
completed | April 20, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e59fe5592c8190bb6122b784496d02 |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:38 a.m.