Triple
T10943997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbia, Missouri |
E258546
|
entity |
| Predicate | hasPublicTransit |
P522
|
FINISHED |
| Object | GoCOMO |
E586102
|
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: GoCOMO | Statement: [Columbia, Missouri, hasPublicTransit, GoCOMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GoCOMO Context triple: [Columbia, Missouri, hasPublicTransit, GoCOMO]
-
A.
GoCOMO
chosen
GoCOMO is the public transportation system serving the city of Columbia, Missouri, providing bus and paratransit services to residents and visitors.
-
B.
Swordsman Online
Swordsman Online is a martial arts-themed massively multiplayer online role-playing game inspired by wuxia novels and set in ancient China.
-
C.
Moonton
Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
-
D.
Champions Online
Champions Online is a superhero-themed massively multiplayer online role-playing game (MMORPG) known for its extensive character customization and comic book-style world.
-
E.
Wasagaming
Wasagaming is a small resort and service community that serves as the main visitor hub within Riding Mountain National Park in Manitoba, Canada.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c4d59481908a5900fc8cf9ecc3 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c2dea008190af68336a096b7f7c |
completed | April 17, 2026, 1:57 p.m. |
Created at: April 8, 2026, 9:23 p.m.