Triple
T10304245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diggstown |
E241710
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Diggstown |
E241710
|
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: Diggstown | Statement: [Diggstown, title, Diggstown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diggstown Context triple: [Diggstown, title, Diggstown]
-
A.
Diggstown
chosen
Diggstown is a 1992 sports comedy-drama film centered on a high-stakes boxing con set in a small Southern town.
-
B.
Tylorstown
Tylorstown is a former coal mining village in the Rhondda Fach valley in Rhondda Cynon Taf, Wales.
-
C.
Griggstown
Griggstown is a small unincorporated community in Franklin Township, Somerset County, New Jersey, known for its historic rural character along the Delaware and Raritan Canal.
-
D.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
-
E.
Stewartstown
Stewartstown is a small village in County Tyrone, Northern Ireland, known for its rural character and historic market-town origins.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d308f034819098da69b963eb8a02 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d58416081909a010e905d70e934 |
completed | April 9, 2026, 3:30 a.m. |
Created at: April 6, 2026, 11:45 a.m.