Triple
T34776762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwood–205th Street station |
E1002527
|
entity |
| Predicate | hasNorthEnd |
P81612
|
FINISHED |
| Object | terminal bumper blocks |
—
|
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: terminal bumper blocks | Statement: [Norwood–205th Street station, hasNorthEnd, terminal bumper blocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNorthEnd Context triple: [Norwood–205th Street station, hasNorthEnd, terminal bumper blocks]
-
A.
neighborhoodOnNorthEnd
Indicates that one neighborhood is located on the northern end of another area or region.
-
B.
hasStateOnNorthSide
Indicates that a state is located to the north of another referenced geographic entity.
-
C.
hasNorthFace
chosen
Indicates that something possesses a side or surface that is oriented toward the north.
-
D.
locatedAtNorthernEndOf
Indicates that one entity is situated at or near the northernmost part or extremity of another entity.
-
E.
hasNorthNeighbor
Indicates that one entity is located directly to the north of another entity.
- 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_6a034540e37c819087a5c75c559323d8 |
completed | May 12, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_6a0344e26fec8190867227f9692e92df |
completed | May 12, 2026, 3:18 p.m. |
Created at: May 3, 2026, 3:59 p.m.