Triple
T8142196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B |
E190122
|
entity |
| Predicate | middayServicePattern |
P24204
|
FINISHED |
| Object | local in Manhattan |
—
|
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: local in Manhattan | Statement: [B, middayServicePattern, local in Manhattan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: middayServicePattern Context triple: [B, middayServicePattern, local in Manhattan]
-
A.
middayService
Indicates a service or activity that takes place around the middle of the day.
-
B.
weekdayServicePattern
Indicates a service pattern or schedule that specifically applies on weekdays rather than weekends or holidays.
-
C.
offPeakServicePattern
chosen
Indicates the service pattern or schedule that applies during off-peak (non-rush-hour) times.
-
D.
rushHourServicePattern
Indicates that a service operates according to a specific pattern or schedule that applies only during rush-hour or peak travel times.
-
E.
dayPattern
Indicates the recurring schedule or configuration of days on which an event, action, or condition 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4443a3748190bbae79f1d673c03d |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:36 p.m.