Triple
T19155352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bromma |
E468914
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Åkeshov |
—
|
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: Åkeshov | Statement: [Bromma, contains, Åkeshov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åkeshov Context triple: [Bromma, contains, Åkeshov]
-
A.
Åkeshov
chosen
Åkeshov is a Stockholm metro station in the western suburbs, serving as a terminus on one branch of the system’s Green line.
-
B.
Melinka
Melinka is a small coastal town in southern Chile that serves as the main settlement and administrative center of the remote Guaitecas Archipelago.
-
C.
Kovel
Kovel is a historic town in northwestern Ukraine, located in the Volyn region and known as a former important railway and trade hub.
-
D.
Boshof
Boshof is a small town in South Africa’s Free State province, historically known for its agricultural economy and role in the Anglo-Boer War.
-
E.
Lvovna
Lvovna is a Russian patronymic derived from the male given name Lev, traditionally used as the middle name for daughters of men named Lev.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeb914248190a92dc5f30cbc8fcc |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.