Triple
T9006628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Vernon, Iowa |
E215159
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lisbon, Iowa |
E206148
|
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: Lisbon, Iowa | Statement: [Mount Vernon, Iowa, locatedNear, Lisbon, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisbon, Iowa Context triple: [Mount Vernon, Iowa, locatedNear, Lisbon, Iowa]
-
A.
Lisbon, Iowa
chosen
Lisbon, Iowa is a small city in eastern Iowa known for its close-knit community, historic downtown, and proximity to the Cedar Rapids metropolitan area.
-
B.
Lansing, Iowa
Lansing, Iowa is a small Mississippi River town in northeastern Iowa known for its scenic river views, historic Black Hawk Bridge, and outdoor recreation opportunities.
-
C.
Hartford, Iowa
Hartford, Iowa is a small city in south-central Iowa that forms part of the Des Moines metropolitan area.
-
D.
Portsmouth, Iowa
Portsmouth, Iowa is a small rural city in western Iowa known for its close-knit community and agricultural surroundings.
-
E.
Washington, Iowa
Washington, Iowa is a small city in southeastern Iowa known for its historic downtown, agricultural surroundings, and role as a local commercial and cultural hub.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0e7f090819093c7af51c3979978 |
completed | April 3, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:05 p.m.