Triple
T7532375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N Broadway Express |
E178055
|
entity |
| Predicate | networkMapGroup |
P77664
|
FINISHED |
| Object | Broadway services |
—
|
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: Broadway services | Statement: [N Broadway Express, networkMapGroup, Broadway services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkMapGroup Context triple: [N Broadway Express, networkMapGroup, Broadway services]
-
A.
networkMapName
Indicates the designated name or label assigned to a particular network map within a system or context.
-
B.
networkModel
Indicates a relationship where an entity is represented or organized according to a specific network-based structure or framework.
-
C.
networkPartOf
Indicates that one network is a component or subdivision of a larger, encompassing network.
-
D.
networkArea
Indicates that one entity defines, covers, or is responsible for a specific network area associated with another entity.
-
E.
networkSection
Indicates that one entity represents a specific section, segment, or subdivision within a larger network structure.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d8eedc81908c1ae421e0e63798 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6f5cea2748190afd607ef93e8d66c |
completed | March 27, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.