Triple
T8789125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salo, Finland |
E209115
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Halikko |
E499498
|
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: Halikko | Statement: [Salo, Finland, formedByMergerOf, Halikko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halikko Context triple: [Salo, Finland, formedByMergerOf, Halikko]
-
A.
Halikko
chosen
Halikko was a former municipality in Southwest Finland that later became part of the city of Salo.
-
B.
Halpasulupi
Halpasulupi was a Hittite royal figure known primarily as one of the sons of King Mursili II in the Late Bronze Age.
-
C.
Haukeli
Haukeli is a mountainous village area in southern Norway known as a key transit point and outdoor recreation destination, especially for skiing and hiking.
-
D.
Hukkeri
Hukkeri is a town in the Indian state of Karnataka, known for its historical temples and its location within the Belagavi region.
-
E.
Häyhä
Häyhä is the surname of Simo Häyhä, the legendary Finnish sniper renowned for his extraordinary marksmanship during the Winter War.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8b0c108190af53d4bb9b132c5c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5210454c8190aa83d941893a4bc5 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.