Triple
T5989326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saare County |
E133304
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Abruka |
E561675
|
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: Abruka | Statement: [Saare County, hasIsland, Abruka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abruka Context triple: [Saare County, hasIsland, Abruka]
-
A.
Abruka
chosen
Abruka is a small Estonian island in the Baltic Sea known for its dense broadleaf forest and tranquil, sparsely populated landscape.
-
B.
Auron
Auron is a river in central France that flows through the Cher department and joins the Yèvre near the city of Bourges.
-
C.
Auron
Auron is a French ski resort village in the southern Alps known for its extensive slopes and proximity to Nice.
-
D.
Raskhan
Raskhan was a 16th–17th century Indian poet and devotee of Krishna, renowned for his lyrical Braj Bhasha compositions celebrating bhakti (devotional love).
-
E.
Abiel
Abiel is a biblical figure mentioned in the Old Testament as an ancestor in the lineage of King Saul.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc76fd481908cc3f327e532a1a6 |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1135e653481909869094063d31605 |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:04 p.m.