Triple
T7722533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OV-102 |
E175048
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Columbia |
E221498
|
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: Columbia | Statement: [OV-102, hasName, Columbia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Columbia Context triple: [OV-102, hasName, Columbia]
-
A.
Columbia
Columbia was the former name of the John F. Kennedy/University of Massachusetts Boston subway station on Boston’s MBTA Red Line.
-
B.
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.
-
C.
Columbia
Columbia is a mid-sized city in central Missouri known as a major college town and cultural hub, home to the University of Missouri and several other educational institutions.
-
D.
Columbia
Columbia is a small unincorporated community located in the state of Iowa in the United States.
-
E.
Columbia
chosen
Columbia was NASA’s first operational Space Shuttle orbiter, notable for pioneering reusable spacecraft missions and tragically being lost in the 2003 reentry disaster.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702f1786881908b025d8986e5f1fa |
completed | March 27, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8dea75df88190b0d1187e57dcfddb |
completed | March 29, 2026, 8:11 a.m. |
Created at: March 27, 2026, 4:05 p.m.