Triple
T20790103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veddesta |
E511749
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Barkarby |
—
|
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: Barkarby | Statement: [Veddesta, hasNearbyArea, Barkarby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barkarby Context triple: [Veddesta, hasNearbyArea, Barkarby]
-
A.
Barkarby
chosen
Barkarby is a suburban district in the Stockholm urban area of Sweden, known for its residential neighborhoods, retail outlets, and the former Barkarby Airport site.
-
B.
Barkur
Barkur is a historic town in the Udupi district of Karnataka, India, known for its ancient temples, archaeological sites, and cultural heritage.
-
C.
Barkot
Barkot is a small town in Uttarkashi district of Uttarakhand, India, that serves as an important stopover and base for pilgrims traveling to the Yamunotri temple in the Garhwal Himalayas.
-
D.
Bannik
Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
-
E.
Barkava
Barkava is a small town in eastern Latvia known for its rural setting within the Madona region.
- 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28f0e1081909f18dddfc6ec084c |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.