Triple
T15030408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akalla |
E378327
|
entity |
| Predicate | hasNeighbourhood |
P4813
|
FINISHED |
| Object | Kista |
E500446
|
NE FINISHED |
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: Kista | Statement: [Akalla, hasNeighbourhood, Kista]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kista Context triple: [Akalla, hasNeighbourhood, Kista]
-
A.
Kista
chosen
Kista is a district in northern Stockholm, Sweden, known as a major hub for information and communications technology companies and research.
-
B.
Kleive
Kleive is a village in Møre og Romsdal county, Norway, situated within the coastal region administered by Molde Municipality.
-
C.
Kungara
Kungara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
-
D.
Kistelek
Kistelek is a small town in southern Hungary known for its agricultural surroundings and location within the Southern Great Plain region.
-
E.
Korku
Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9ddb46888190b1d2fe2992fc120b |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.