Triple
T8750808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Iowa |
E207951
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Red Oak, Iowa |
E178926
|
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: Red Oak, Iowa | Statement: [Central Iowa, hasCity, Red Oak, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Oak, Iowa Context triple: [Central Iowa, hasCity, Red Oak, Iowa]
-
A.
Red Oak, Iowa
chosen
Red Oak, Iowa is a small city in Montgomery County known historically as a regional railroad and agricultural community in southwestern Iowa.
-
B.
Riverside, Iowa
Riverside, Iowa is a small city best known as the self-proclaimed future birthplace of Star Trek’s Captain James T. Kirk.
-
C.
Ocheyedan, Iowa
Ocheyedan, Iowa is a small rural city in northwestern Iowa known for its agricultural surroundings and proximity to the Ocheyedan Mound, one of the state's notable natural landmarks.
-
D.
Osage, Iowa
Osage, Iowa is a small city in northern Iowa known as the administrative and commercial hub of Mitchell County.
-
E.
Larchwood, Iowa
Larchwood, Iowa is a small rural city in the far northwest corner of the state, known for its agricultural surroundings and proximity to the South Dakota border.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da774f4819099e5bfd12973d946 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf431db5a88190a579b43370a8e887 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.