Triple
T16776374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iola Boylen |
E407733
|
entity |
| Predicate | residesIn |
P75
|
FINISHED |
| Object | Raytown |
E1059070
|
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: Raytown | Statement: [Iola Boylen, residesIn, Raytown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raytown Context triple: [Iola Boylen, residesIn, Raytown]
-
A.
Raytown
chosen
Raytown is a suburban city in Jackson County, Missouri, located in the Kansas City metropolitan area.
-
B.
Taylortown
Taylortown is a small village located within the town of Griswold in New London County, Connecticut.
-
C.
Riverstown
Riverstown is a small village in County Cork, Ireland, situated close to the suburban town of Glanmire near Cork City.
-
D.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
E.
Brownsdale
Brownsdale is a small city located in Mower County in southeastern Minnesota, United States.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b03a646c8190b3944c9f0c25af27 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aafe1f8081909b9540aca6e7b9b7 |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.