Triple
T4103839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA Route 13 |
E88401
|
entity |
| Predicate | usesStreet |
P17242
|
FINISHED |
| Object | Chester Avenue |
E32860
|
NE 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: Chester Avenue | Statement: [SEPTA Route 13, usesStreet, Chester Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chester Avenue Context triple: [SEPTA Route 13, usesStreet, Chester Avenue]
-
A.
Chester Avenue
chosen
Chester Avenue is a major street in Philadelphia that serves as part of the surface-running route for SEPTA’s Subway–Surface trolley lines.
-
B.
Church Avenue
Church Avenue is a central street in downtown Knoxville, Tennessee, known for connecting key civic, commercial, and historic areas of the city’s urban core.
-
C.
Church Avenue
Church Avenue is a New York City Subway station in Brooklyn that serves as the southern terminal for the G train.
-
D.
Lancaster Avenue
Lancaster Avenue is a major thoroughfare in Philadelphia that serves as a key commercial and transit corridor through the University City area and beyond.
-
E.
Concord Avenue
Concord Avenue is a principal roadway running through Belmont, Massachusetts, serving as a key thoroughfare in the Belmont Center area and its historic district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd31bad88190b850d1dcba14de60 |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8108dda308190bb3b7209efe132bb |
completed | March 28, 2026, 5:31 p.m. |
Created at: March 9, 2026, 3:40 p.m.