Triple
T4146275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monroe County, Iowa |
E89789
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object | Melrose, Iowa |
E414814
|
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: Melrose, Iowa | Statement: [Monroe County, Iowa, hasJurisdictionOver, Melrose, Iowa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Melrose, Iowa Context triple: [Monroe County, Iowa, hasJurisdictionOver, Melrose, Iowa]
-
A.
Melrose, Iowa
chosen
Melrose, Iowa is a small rural city in southern Iowa known for its tight-knit community and historic Irish Catholic heritage.
-
B.
Melvin, Iowa
Melvin, Iowa is a small rural city located in northwestern Iowa within Osceola County.
-
C.
Malvern, Iowa
Malvern, Iowa is a small rural city in southwestern Iowa known for its historic downtown, community events, and role as a local agricultural and residential hub.
-
D.
Mineola, Iowa
Mineola, Iowa is a small unincorporated rural community located in southwestern Iowa.
-
E.
Milo, Iowa
Milo, Iowa is a small rural city in Warren County known for its close-knit community and agricultural surroundings in south-central Iowa.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af025fef088190b42515d0a854a1ae |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f3136c48190b158142311bfbc6d |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.