Triple
T4775892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway Local |
E106044
|
entity |
| Predicate | serviceLevelInManhattan |
P6199
|
FINISHED |
| Object | all stops |
—
|
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: all stops | Statement: [Broadway Local, serviceLevelInManhattan, all stops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceLevelInManhattan Context triple: [Broadway Local, serviceLevelInManhattan, all stops]
-
A.
manhattanServiceType
Indicates the specific category or type of service provided within the Manhattan area.
-
B.
servicePatternBronx
Indicates a service pattern that specifically applies to or operates within the Bronx.
-
C.
serviceLevel
chosen
Indicates the degree or quality of service provided or received in the relationship between entities.
-
D.
onSideOfManhattan
Indicates that one entity is located on the same side of Manhattan as, or relative to, another reference entity.
-
E.
midtownService
Indicates that a service operates in, serves, or is specifically associated with the Midtown area.
- 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_69bd43f3074c8190937e7b0a457fe9f1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd69237f80819090713ed62653fb75 |
completed | March 20, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69bd622be1388190ab5511b589c878c0 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.