Triple
T4656333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Gaines |
E102417
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | Fort Morgan |
E115467
|
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: Fort Morgan | Statement: [Fort Gaines, nearby, Fort Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fort Morgan Context triple: [Fort Gaines, nearby, Fort Morgan]
-
A.
Fort Morgan
chosen
Fort Morgan is a historic 19th-century masonry fort on Mobile Bay in Alabama, best known for its role in the American Civil War, particularly the Battle of Mobile Bay.
-
B.
Fort Morgan, Colorado
Fort Morgan, Colorado is a small agricultural and industrial city on the Eastern Plains of Colorado that serves as a regional hub for farming, livestock, and transportation.
-
C.
Columbia City
Columbia City is a historic, culturally diverse neighborhood in southeast Seattle known for its vibrant business district, arts scene, and early 20th-century architecture.
-
D.
Littleton
Littleton is a suburban town in Middlesex County, Massachusetts, located northwest of Boston.
-
E.
Littleton
Littleton is a village in Surrey, England, known for its proximity to Shepperton and its largely residential, semi-rural character.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63193a108190a7d9aec1d1d40cf8 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43936630819094417faf4df7f6df |
completed | March 21, 2026, 7:06 a.m. |
Created at: March 20, 2026, 1:14 p.m.