Triple
T21053297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ardroil |
E518642
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Valtos |
—
|
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: Valtos | Statement: [Ardroil, near, Valtos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valtos Context triple: [Ardroil, near, Valtos]
-
A.
Valtos
chosen
Valtos is a small coastal village on the Isle of Lewis in Scotland’s Outer Hebrides, known for its dramatic cliffs, beaches, and traditional crofting landscape.
-
B.
Totaig
Totaig is a small rural settlement on the Duirinish peninsula in the Scottish Highlands, known for its scenic coastal and mountain views.
-
C.
Vastominas
Vastominas is a character in Mia Couto’s novel "A Varanda do Frangipani," contributing to the book’s blend of mystery, memory, and magical realism set in postcolonial Mozambique.
-
D.
Vaali
Vaali is a 1999 Tamil psychological thriller film starring Ajith Kumar in dual roles, widely regarded as one of his breakthrough performances.
-
E.
Vecrīga
Vecrīga is the historic old town of Riga, Latvia, known for its medieval architecture, cobblestone streets, and status as a UNESCO World Heritage Site.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:36 p.m.