Triple
T21382368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brown Line (CTA) |
E527391
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object | Albany Park |
—
|
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: Albany Park | Statement: [Brown Line (CTA), servesNeighborhood, Albany Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albany Park Context triple: [Brown Line (CTA), servesNeighborhood, Albany Park]
-
A.
Albany Park
Albany Park is a suburban residential area in southeast London, known for its local railway station and proximity to green spaces and schools.
-
B.
Albany Park
chosen
Albany Park is a diverse residential neighborhood on Chicago’s Northwest Side known for its multicultural community, affordable housing, and vibrant local businesses.
-
C.
Morgan Park
Morgan Park is a public recreational park located in Baldwin Park, California.
-
D.
Humboldt Park
Humboldt Park is a public urban park in Milwaukee, Wisconsin, known for its green spaces, lagoon, and community events.
-
E.
Morgan Park, Chicago
Morgan Park, Chicago is a primarily residential neighborhood on the far South Side of Chicago known for its tree-lined streets, historic homes, and strong community character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0d1fa1c8190b3374e0bb3a971fc |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.