Triple
T74001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Lincoln |
E1482
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Hodgenville, Kentucky |
E1483
|
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: Hodgenville, Kentucky | Statement: [Abraham Lincoln, placeOfBirth, Hodgenville, Kentucky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hodgenville, Kentucky Context triple: [Abraham Lincoln, placeOfBirth, Hodgenville, Kentucky]
-
A.
Hodgenville, Kentucky
chosen
Hodgenville, Kentucky is a small city in central Kentucky best known as the birthplace of U.S. President Abraham Lincoln.
-
B.
Lexington
Lexington is a historic suburban town in Massachusetts, United States, best known as the site where the first shots of the American Revolutionary War were fired at the Battle of Lexington in 1775.
-
C.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
D.
Bluefield, West Virginia, United States
Bluefield, West Virginia, United States, is a small Appalachian city best known as the birthplace of Nobel Prize–winning mathematician John Nash.
-
E.
Shirlington
Shirlington is a vibrant urban village in Arlington, Virginia, known for its walkable mix of restaurants, shops, theaters, and residential developments.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24f1a352081909cfa257202178ed6 |
completed | Feb. 28, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2554ffb8c8190a30aceecd7f30d96 |
completed | Feb. 28, 2026, 2:39 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.