Triple
T13863109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 145th Street (IND Concourse Line) |
E333247
|
entity |
| Predicate | daytimeLocalService |
P112159
|
FINISHED |
| Object | B |
—
|
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: B | Statement: [145th Street (IND Concourse Line), daytimeLocalService, B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: daytimeLocalService Context triple: [145th Street (IND Concourse Line), daytimeLocalService, B]
-
A.
hasLocalityDay
Indicates that a specific day is officially designated or observed within a particular locality or municipality.
-
B.
operatesDaytime
Indicates that an entity performs its primary function or activity during daytime hours.
-
C.
localTime
Indicates that a specific time value is expressed relative to a particular local time zone or locale, rather than in a universal or standardized time reference.
-
D.
dayPattern
Indicates the recurring schedule or configuration of days on which an event, action, or condition occurs.
-
E.
daytimePopulation
Indicates the number of people present in a given area during daytime hours, typically reflecting where people work or visit rather than where they reside.
- F. None of above. chosen
Provenance (4 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_69d81c5ced9c8190b0e9bcc6effe5959 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a101488190bd790b28033d38b9 |
completed | April 14, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69de05972f3881909977b4c843984f88 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239524688190a0f2408c239cfcaa |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:14 p.m.