Triple
T17233041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South End, Charlotte |
E418291
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Wilmore, Charlotte |
E520667
|
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: Wilmore, Charlotte | Statement: [South End, Charlotte, borderedBy, Wilmore, Charlotte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilmore, Charlotte Context triple: [South End, Charlotte, borderedBy, Wilmore, Charlotte]
-
A.
Wilmore
Wilmore is a small city in central Kentucky known for its strong Christian academic community and as the home of Asbury University and Asbury Theological Seminary.
-
B.
Wilmore
chosen
Wilmore is an English-language surname borne by various notable individuals across fields such as entertainment, sports, and public service.
-
C.
Lenoir
Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
-
D.
Haywood
Haywood is the given name of Haywood S. Hansell, a U.S. Air Force general known for his role in developing strategic bombing doctrine during World War II.
-
E.
Wilson, North Carolina
Wilson, North Carolina is a small city in eastern North Carolina known historically for tobacco and agriculture and now for its diversified economy and regional cultural attractions.
- 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_69d886d8e96081909870bff6c3d0bf09 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42df9558481909e2e50ae0b02acf7 |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a016760873c8190bab70ad4ca0c6d8e |
completed | May 11, 2026, 5:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.