Triple
T21509525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of the Archangels |
E530679
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Gremi |
—
|
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: Gremi | Statement: [Church of the Archangels, locatedIn, Gremi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gremi Context triple: [Church of the Archangels, locatedIn, Gremi]
-
A.
Gremi
chosen
Gremi is a historic town and former royal residence in eastern Georgia’s Kakheti region, known for its 16th-century church and fortress complex.
-
B.
Ghemme
Ghemme is a small town in Italy’s Piedmont region, known for its historic architecture and production of Nebbiolo-based wines.
-
C.
Gemer
Gemer is a historical and geographical region in southern Slovakia known for its mining heritage, medieval castles, and karst landscapes.
-
D.
Corfai
Corfai is a planet in the Star Wars universe located in the politically and economically important Core Worlds region.
-
E.
Grimus
Grimus is Salman Rushdie’s debut novel, a genre-blending work of science fiction and fantasy that explores themes of identity, immortality, and exile.
- 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84042481909b43a7a4c5d2336a |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.