Triple
T18939878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sno Fortress |
E463351
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Sno |
—
|
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: Sno | Statement: [Sno Fortress, nearbySettlement, Sno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sno Context triple: [Sno Fortress, nearbySettlement, Sno]
-
A.
Sno
chosen
Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
-
B.
SNO
SNO is the National Rail station code for St Neots railway station in Cambridgeshire, England.
-
C.
Snoge
Snoge is the historic 17th-century Portuguese-Israelite synagogue in Amsterdam, renowned as one of the oldest and best-preserved Sephardic synagogues in Europe.
-
D.
Skiibii
Skiibii is a Nigerian singer and songwriter known for his Afrobeat and Afropop hits and collaborations within the contemporary Nigerian music scene.
-
E.
Schnapp
Schnapp is the surname of American actor Noah Schnapp, best known for his role as Will Byers in the television series "Stranger Things."
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3eae9b88190b6031c359090782a |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.