Triple
T1841122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman |
E41178
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Cleveland County |
E291656
|
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: Cleveland County | Statement: [Norman, county, Cleveland County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cleveland County Context triple: [Norman, county, Cleveland County]
-
A.
Cleveland County
Cleveland County is a county in southwestern North Carolina that forms part of the greater Charlotte metropolitan region.
-
B.
Cleveland County
chosen
Cleveland County is a county in central Oklahoma that forms part of the Oklahoma City metropolitan area.
-
C.
Madison County
Madison County is a county in central New York State known for its rural communities, agriculture, and small historic towns such as Oneida and Cazenovia.
-
D.
Madison County
Madison County is a county in central Mississippi, located in the Jackson metropolitan area and known for its rapidly growing suburban communities.
-
E.
Madison County
Madison County is a county in northern Alabama that includes the city of Huntsville, a major center for aerospace, defense, and technology.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb03c5e8081909578eaba8d82c264 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b35449d84c819082e1a1aefc7234c5 |
completed | March 13, 2026, 12:03 a.m. |
Created at: March 4, 2026, 7:33 p.m.