Triple
T25586287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 28th Street |
E641391
|
entity |
| Predicate | servedByDaytime |
P103870
|
FINISHED |
| Object | 6 train |
—
|
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: 6 train | Statement: [28th Street, servedByDaytime, 6 train]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servedByDaytime Context triple: [28th Street, servedByDaytime, 6 train]
-
A.
servedByAtNight
Indicates that a service or location is operated, attended to, or provided specifically during nighttime hours.
-
B.
servedDuring
Indicates that one entity held a role, position, or performed a function within the time period defined by another entity.
-
C.
servedByAtAllTimes
Indicates that one entity continuously provides service or support to another entity without interruption over the entire relevant time period.
-
D.
operatesDaytime
chosen
Indicates that an entity performs its primary function or activity during daytime hours.
-
E.
middayService
Indicates a service or activity that takes place around the middle of the day.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6c1265c208190aacd2b551f8f0f82 |
completed | May 3, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2415fc81908c23c311aebce66f |
completed | May 3, 2026, 3:12 a.m. |
Created at: April 21, 2026, 4:16 p.m.