Triple
T13167771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Broad Street |
E312897
|
entity |
| Predicate | hasNearbyNeighborhood |
P350
|
FINISHED |
| Object | Center City |
E148208
|
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: Center City | Statement: [South Broad Street, hasNearbyNeighborhood, Center City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Center City Context triple: [South Broad Street, hasNearbyNeighborhood, Center City]
-
A.
Center City
chosen
Center City is the primary downtown business and commercial district of Philadelphia, Pennsylvania, known for its dense skyline, cultural institutions, and historic landmarks.
-
B.
Central City
Central City is the primary fictional metropolis in the DC Comics universe known as the home of the superhero The Flash.
-
C.
Central City
Central City is a small town in Linn County, Iowa, known for its rural Midwestern character and community-oriented lifestyle.
-
D.
Central City
Central City is the fictional Midwestern town that serves as the primary backdrop for the classic American sitcom "The Many Loves of Dobie Gillis."
-
E.
Central City
Central City was the former name of Santa Maria, a city in California’s Central Coast region known for agriculture and wine production.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2c317881908cc715c97d915f77 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eaf92c1881909d387dcf50d8d09f |
completed | May 3, 2026, 6:28 a.m. |
Created at: April 9, 2026, 9:13 p.m.