Triple
T16699193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCMH |
E405797
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Columbus, Ohio |
E9221
|
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: Columbus, Ohio | Statement: [KCMH, locatedIn, Columbus, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Columbus, Ohio Context triple: [KCMH, locatedIn, Columbus, Ohio]
-
A.
Columbus, Ohio
chosen
Columbus, Ohio is the capital and largest city of Ohio, known for its diverse economy, major universities, and role as a cultural and political center in the region.
-
B.
Hamilton, Ohio
Hamilton, Ohio is a historic industrial city in southwestern Ohio that serves as the county seat of Butler County and is part of the greater Cincinnati–Miami Valley region.
-
C.
Columbus
Columbus is the cautious, rule-obsessed protagonist and narrator of the post-apocalyptic comedy film "Zombieland."
-
D.
Columbus
Columbus is the European Space Agency’s research laboratory module attached to the International Space Station, used for a wide range of scientific experiments in microgravity.
-
E.
Columbus
Columbus is the capital and largest city of Ohio, known for its diverse economy, major universities, and vibrant arts and sports scenes.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383300d108190911e3cba8e07f2dd |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b27dcef481909ccfe4d3d604b1de |
completed | May 10, 2026, 4:29 p.m. |
Created at: April 10, 2026, 5:19 a.m.