Triple
T9712029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finnish folklore |
E235042
|
entity |
| Predicate | coreFigure |
P74551
|
FINISHED |
| Object | Louhi |
E651748
|
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: Louhi | Statement: [Finnish folklore, coreFigure, Louhi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louhi Context triple: [Finnish folklore, coreFigure, Louhi]
-
A.
Louhi
chosen
Louhi is a powerful and malevolent witch-queen of the land of Pohjola in Finnish mythology, best known as a central antagonist in the national epic Kalevala.
-
B.
Vahun
Vahun is a town in northwestern Liberia that serves as one of the local settlements within Lofa County near the border with Sierra Leone.
-
C.
Lohrasp
Lohrasp is a legendary king in Persian mythology, known from the Shahnameh as a ruler of Iran who followed the heroic reigns of earlier Kayanian monarchs.
-
D.
Lihir
Lihir is an Oceanic language spoken primarily on the Lihir Islands of Papua New Guinea.
-
E.
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.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0705f8819095852263009c28c5 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f8c26dc8190a6fa21bde27ba6fa |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:19 p.m.