Triple
T26957653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B (IND Concourse Line) |
E678951
|
entity |
| Predicate | hasTerminusBorough |
P49613
|
FINISHED |
| Object | The Bronx |
—
|
NE NERFINISHED |
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: The Bronx | Statement: [B (IND Concourse Line), hasTerminusBorough, The Bronx]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerminusBorough Context triple: [B (IND Concourse Line), hasTerminusBorough, The Bronx]
-
A.
terminusBorough
chosen
Indicates the borough in which the endpoint or terminus of something (such as a route or line) is located.
-
B.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
-
C.
hasBoroughEndpoint
Indicates that something has an endpoint located within a specific borough.
-
D.
hasBoroughEquivalent
Indicates that one administrative area corresponds functionally or hierarchically to a borough in another jurisdiction or classification system.
-
E.
hasBoroughOrNeighborhood
Indicates that a place is located within, or associated with, a specific borough or neighborhood.
- 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_69eeeb4e75f08190b14fc91ca4a91488 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 6:28 a.m.