Triple
T21876017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guilty |
E540144
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | Columbia |
—
|
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: Columbia | Statement: [Guilty, labelImprint, Columbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Columbia Context triple: [Guilty, labelImprint, Columbia]
-
A.
Columbia
Columbia was the command module spacecraft of NASA's historic Apollo 11 mission, which carried astronauts to the Moon and safely returned them to Earth in 1969.
-
B.
Columbia
chosen
Columbia is a major American record label known for signing and releasing music by many influential artists across genres.
-
C.
Columbia
Columbia is the capital city of South Carolina, known for hosting the University of South Carolina and its prominent Gamecocks athletic programs.
-
D.
Columbia
Columbia is a small city in southern Mississippi, United States, known as the seat of Marion County and for its historic downtown and community events.
-
E.
Columbia
Columbia is a historic riverfront town in Pennsylvania known for its role in transportation, industry, and its strategic location along the Susquehanna River.
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f33a4e608190bd25bfa3fb5cac10 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 7:02 p.m.