Triple
T30066388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (Cleveland) |
E764041
|
entity |
| Predicate | sharesDowntownTerminusWith |
P196497
|
FINISHED |
| Object | Red Line (Cleveland) |
—
|
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: Red Line (Cleveland) | Statement: [Green Line (Cleveland), sharesDowntownTerminusWith, Red Line (Cleveland)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesDowntownTerminusWith Context triple: [Green Line (Cleveland), sharesDowntownTerminusWith, Red Line (Cleveland)]
-
A.
terminusCity
Indicates that a transportation route or service ends or has its final stop in a particular city.
-
B.
connectsDowntownTo
Indicates a relationship where one location, route, or service provides a direct connection or access to a downtown area.
-
C.
isDowntownEndpointOf
Indicates that a location serves as the downtown terminus or endpoint of a route, line, or path.
-
D.
terminusCitySouth
Indicates that something serves as the southern terminus or endpoint located in a particular city.
-
E.
terminusCitySoutheast
Indicates that something serves as the southeastern terminus or endpoint of a route, line, or connection in a particular city.
- 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_69f2247221388190a13a22c47094a0ef |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
| PDg | Predicate description generation | batch_69fe59d03a648190bbe846cb5730a477 |
completed | May 8, 2026, 9:46 p.m. |
Created at: April 29, 2026, 6:59 p.m.