Triple
T22544051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Christian Church |
E557369
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Garding |
—
|
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: Garding | Statement: [St. Christian Church, locatedIn, Garding]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garding Context triple: [St. Christian Church, locatedIn, Garding]
-
A.
Garding
chosen
Garding is a small town in the Nordfriesland district of Schleswig-Holstein in northern Germany.
-
B.
Garde
Garde is the surname of American stage, film, and radio actress Betty Garde, known for her character roles in mid-20th-century entertainment.
-
C.
Gardish
Gardish is a 1993 Hindi action-drama film directed by Priyadarshan, known for Dimple Kapadia’s acclaimed performance alongside Jackie Shroff.
-
D.
Garderen
Garderen is a village in the Dutch province of Gelderland, known for its rural setting and location within the municipality of Barneveld.
-
E.
Gardi
Gardi is the nickname of Ibrahim Khan Gardi, an 18th-century Indian military commander renowned for leading artillery forces in the Third Battle of Panipat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f33c9cc819086d098f36e4121dc |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.