Triple
T3312038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City Hall Station (Philadelphia) |
E69593
|
entity |
| Predicate | servesLineType |
P47205
|
FINISHED |
| Object | local |
—
|
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: local | Statement: [City Hall Station (Philadelphia), servesLineType, local]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesLineType Context triple: [City Hall Station (Philadelphia), servesLineType, local]
-
A.
servesLine
Indicates that a transportation stop, station, or facility is on and provides service for a particular transit line.
-
B.
lineServed
Indicates that a particular transportation line (such as a bus, train, or metro line) provides service to or is operated at a given stop, station, or route segment.
-
C.
servedByLine
Indicates that a transportation stop, station, or location is provided service by a specific transit line.
-
D.
lineType
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
-
E.
railwayLineType
Indicates the specific kind or classification of a railway line associated with an entity (e.g., main line, branch line, high-speed line).
- 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_69ad85a0bb048190a5458d2738012d61 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0eddf488190b7f05b3903b96d4b |
completed | March 8, 2026, 5:25 p.m. |
| PD | Predicate disambiguation | batch_69ada4282730819092aa39c5f9269df0 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada52716ec81908e89688a81039394 |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:11 p.m.