Triple
T19777273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellisville |
E475033
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Ellisville |
—
|
NE NERFINISHED |
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: Ellisville | Statement: [Ellisville, hasName, Ellisville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ellisville Context triple: [Ellisville, hasName, Ellisville]
-
A.
Ellisville
Ellisville is a small unincorporated community located in Columbia County in northern Florida, United States.
-
B.
Ellisville, Mississippi
Ellisville, Mississippi is a small city in southeastern Mississippi that serves as the county seat of Jones County and is part of the Hattiesburg metropolitan area.
-
C.
Labbeville
Labbeville is a small French commune located in the Val-d'Oise department in the Île-de-France region of northern France.
-
D.
Rayville
Rayville is a small village located in Ray County, Missouri, in the United States.
-
E.
Springfield, Louisiana
Springfield, Louisiana is a small town in Livingston Parish known historically as one of the places where future U.S. President Zachary Taylor once lived.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65360cca08190957c36b1a440542c |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:48 p.m.