Triple
T34776763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwood–205th Street station |
E1002527
|
entity |
| Predicate | hasSouthConnection |
P110372
|
FINISHED |
| Object | IND Concourse Line to Bedford Park Boulevard |
—
|
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: IND Concourse Line to Bedford Park Boulevard | Statement: [Norwood–205th Street station, hasSouthConnection, IND Concourse Line to Bedford Park Boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSouthConnection Context triple: [Norwood–205th Street station, hasSouthConnection, IND Concourse Line to Bedford Park Boulevard]
-
A.
hasSouthExit
Indicates that an entity has an exit or passage leading toward the south.
-
B.
connectsSouthTo
chosen
Indicates that one entity is directly linked or joined to another entity located to its south.
-
C.
hasSouthBorder
Indicates that one entity shares its southern boundary or border with another entity.
-
D.
hasSouthernTerminus
Indicates that one entity serves as the southern endpoint or terminus of another entity, such as a route, line, or path.
-
E.
hasBorderConnection
Indicates that two regions or entities share a common boundary or are directly connected along a border.
- 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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: May 3, 2026, 3:59 p.m.