Triple
T360908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Town of Southeast |
E7848
|
entity |
| Predicate | hasHamlet |
P12354
|
FINISHED |
| Object | Doansburg |
E14570
|
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: Doansburg | Statement: [Town of Southeast, hasHamlet, Doansburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doansburg Context triple: [Town of Southeast, hasHamlet, Doansburg]
-
A.
Culross
Culross is a historic coastal village in Fife, Scotland, known for its well-preserved 16th–17th century buildings and picturesque harbour.
-
B.
Pleasant Valley
Pleasant Valley is a small town and community in Dutchess County, New York, known for its rural character and residential neighborhoods.
-
C.
Mount Pleasant, Pennsylvania
Mount Pleasant, Pennsylvania is a small borough in Westmoreland County known historically for its coal mining and glass manufacturing industries.
-
D.
Union Vale
chosen
Union Vale is a small rural town located in Dutchess County in New York’s Hudson Valley region.
-
E.
Marthasville
Marthasville was the former name of the city now known as Atlanta, Georgia, during its early 19th-century development as a railroad terminus.
- 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_69a2e7e880008190a6ad7e06e5d03007 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee29ede0819095279af95b53e350 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3e57a56e081909004fcd7e15f457c |
completed | March 1, 2026, 7:06 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.