Triple
T7444609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orient-Macksburg Community School District |
E171842
|
entity |
| Predicate | servesCommunity |
P82
|
FINISHED |
| Object | Orient, Iowa |
E171839
|
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: Orient, Iowa | Statement: [Orient-Macksburg Community School District, servesCommunity, Orient, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orient, Iowa Context triple: [Orient-Macksburg Community School District, servesCommunity, Orient, Iowa]
-
A.
Orient, Iowa
chosen
Orient, Iowa is a small rural city located in southwestern Iowa within Adair County.
-
B.
Orchard, Iowa
Orchard, Iowa is a small rural city located in Mitchell County in northern Iowa, United States.
-
C.
Olin, Iowa
Olin, Iowa is a small rural city located in eastern Iowa within Jones County.
-
D.
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.
-
E.
Ossian, Iowa
Ossian, Iowa is a small rural city located in northeastern Iowa within Winneshiek County.
- 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36e9a588190b54b8bae181fc971 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827a1bdf48190a0bf217044fb05f8 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:14 p.m.