Triple
T5530025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reading Terminal |
E145024
|
entity |
| Predicate | region |
P40
|
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: [Reading Terminal, region, Center City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Center City Context triple: [Reading Terminal, region, 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 major urban area in New Orleans known for its historic neighborhoods, cultural diversity, and role in the city’s social and commercial life.
-
D.
Central City
Central City is a historic Colorado mining town famed for its boom during the mid-19th-century gold rush and its well-preserved Victorian-era architecture.
-
E.
Midtown
Midtown is a major commercial and entertainment district in central Manhattan, New York City, known for its dense concentration of skyscrapers, corporate headquarters, and iconic landmarks like Times Square.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f996e088190844cba2c4458bd76 |
completed | March 22, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c02801cbf881909da344a057520f32 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:34 p.m.