Triple
T21420148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trenton–Mercer Airport |
E528412
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Trenton |
—
|
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: Trenton | Statement: [Trenton–Mercer Airport, cityServed, Trenton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trenton Context triple: [Trenton–Mercer Airport, cityServed, Trenton]
-
A.
Trenton
Trenton is a community in Ontario, Canada, located at the eastern end of the Trent–Severn Waterway and known as a regional hub on the Bay of Quinte.
-
B.
Trenton
Trenton is a small city in Gilchrist County, Florida, serving as a local hub for surrounding rural communities.
-
C.
Trenton
Trenton is a key hacker and member of the fsociety collective in the television series "Mr. Robot."
-
D.
Trenton
Trenton is a small town located in northern Utah, United States, known for its rural character and agricultural surroundings within Cache County.
-
E.
Trenton, New Jersey
chosen
Trenton, New Jersey is the capital city of the state of New Jersey, located along the Delaware River between New York City and Philadelphia.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b2cdb40481909542f2c953bbab64 |
completed | April 22, 2026, 11:36 a.m. |
Created at: April 16, 2026, 5:47 p.m.