Triple
T20137653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harju maakond |
E491063
|
entity |
| Predicate | hasShortName |
P1354
|
FINISHED |
| Object | Harjumaa |
—
|
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: Harjumaa | Statement: [Harju maakond, hasShortName, Harjumaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harjumaa Context triple: [Harju maakond, hasShortName, Harjumaa]
-
A.
Järvamaa
Järvamaa is a historical region in central Estonia known for its rural landscapes, forests, and small towns such as Paide.
-
B.
Virumaa
Virumaa is a historical region in northern Estonia, known for its medieval heritage, coastal landscapes, and role as one of the country’s traditional cultural provinces.
-
C.
Hiiumaa
Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
-
D.
Harju maakond
chosen
Harju maakond is a county in northern Estonia that includes the nation’s capital city, Tallinn, and serves as the country’s most populous and economically significant region.
-
E.
Harju
Harju is a famous spectator-friendly city-stage in Jyväskylä that serves as one of the most iconic and crowd-drawing special stages of Rally Finland.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.