Triple
T6115688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camden County |
E136354
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Camden |
E44834
|
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: Camden | Statement: [Camden County, seat, Camden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camden Context triple: [Camden County, seat, Camden]
-
A.
Camden
chosen
Camden is a city in New Jersey located directly across the Delaware River from Philadelphia, known historically as an industrial hub and for its proximity to the larger Philadelphia metropolitan area.
-
B.
Camden
Camden is a vibrant inner borough of London known for its alternative culture, markets, live music venues, and canalside atmosphere.
-
C.
Newark
Newark is a city in northern Delaware known for being home to the University of Delaware and its vibrant college-town community.
-
D.
Newark
Newark is a major city in northern New Jersey known for its historic significance, diverse communities, and role as a cultural and transportation hub in the New York metropolitan area.
-
E.
Newark
Newark was the early colonial town that served as the first capital of Upper Canada, located at the mouth of the Niagara River (now known as Niagara-on-the-Lake, Ontario).
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bc246e48190b4f3d52eb682aa45 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8108dda308190bb3b7209efe132bb |
completed | March 28, 2026, 5:31 p.m. |
Created at: March 22, 2026, 4:14 p.m.