Triple
T14783093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeager Airport |
E347440
|
entity |
| Predicate | hasCityServed |
P3936
|
FINISHED |
| Object | Charleston |
E283806
|
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: Charleston | Statement: [Yeager Airport, hasCityServed, Charleston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charleston Context triple: [Yeager Airport, hasCityServed, Charleston]
-
A.
Charleston
Charleston is a historic port city in South Carolina known as a key center of colonial resistance to British rule, including major protests against imperial taxation.
-
B.
Charleston
Charleston was the original name of the city now known as Lorain, Ohio, a Great Lakes industrial community on the shores of Lake Erie.
-
C.
Charleston
Charleston is a historic waterfront neighborhood in Bremerton, Washington, known for its residential character and proximity to the Puget Sound naval facilities.
-
D.
Charleston
chosen
Charleston is a small city in east-central Illinois best known as the home of Eastern Illinois University.
-
E.
The Charleston
The Charleston is a famous early 20th-century American jazz dance and song that became emblematic of the Roaring Twenties.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9de3f48190b7706925e2947cf5 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0d02e28081909a11d6e6fdb8d28c |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.