Triple
T9845400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maud Gage Baum |
E239327
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Aberdeen, South Dakota |
E377625
|
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: Aberdeen, South Dakota | Statement: [Maud Gage Baum, residence, Aberdeen, South Dakota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aberdeen, South Dakota Context triple: [Maud Gage Baum, residence, Aberdeen, South Dakota]
-
A.
Aberdeen, South Dakota
chosen
Aberdeen, South Dakota is a small city in northeastern South Dakota known as a regional commercial, educational, and cultural hub for the surrounding rural area.
-
B.
Madison, South Dakota
Madison, South Dakota is a small city in eastern South Dakota known as a regional hub for education, technology, and agriculture.
-
C.
Hartford, South Dakota
Hartford, South Dakota is a small city in eastern South Dakota that serves as a growing residential community near Sioux Falls.
-
D.
Harrisburg, South Dakota
Harrisburg, South Dakota is a rapidly growing suburban city near Sioux Falls known for its family-friendly community and strong school system.
-
E.
Brandon, South Dakota
Brandon, South Dakota is a small city in the Sioux Falls metropolitan area known as one of the fastest-growing communities in eastern South Dakota.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb35ff7848190a8a717773d8654b9 |
completed | April 2, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e42edd98819092d07139890d83e4 |
completed | April 5, 2026, 4:25 a.m. |
Created at: March 30, 2026, 8:33 p.m.