Triple
T20224522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shatili |
E495342
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Mutso |
—
|
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: Mutso | Statement: [Shatili, nearbyAttraction, Mutso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutso Context triple: [Shatili, nearbyAttraction, Mutso]
-
A.
Mutso
chosen
Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
-
B.
Muskiz
Muskiz is a coastal municipality in the province of Biscay in Spain’s Basque Country, known for its industrial facilities and nearby beaches.
-
C.
Mozasu
Mozasu is a central character in Min Jin Lee's novel "Pachinko," a Korean-Japanese man whose life reflects the struggles and resilience of a marginalized immigrant family across generations.
-
D.
Moruya
Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
-
E.
Mützel
Mützel is a village and district (Ortsteil) of the town of Genthin in the state of Saxony-Anhalt, Germany.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fd8f1948190adbb947a7870bb43 |
completed | April 20, 2026, 6:26 p.m. |
Created at: April 11, 2026, 11:39 p.m.