Triple
T20018103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halsa |
E494775
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Heim |
—
|
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: Heim | Statement: [Halsa, locatedInMunicipality, Heim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heim Context triple: [Halsa, locatedInMunicipality, Heim]
-
A.
Heim
chosen
Heim is a municipality in Trøndelag county, Norway, known for its coastal landscapes and rural communities.
-
B.
Ragnarok
Ragnarok is the apocalyptic series of events in Norse mythology that culminates in a great battle, the death of many gods, and the destruction and subsequent rebirth of the world.
-
C.
Darunia
Darunia is the Goron leader and Sage of Fire from The Legend of Zelda series, known for his strength, loyalty, and role as an ally to Link.
-
D.
Valhalla
Valhalla is a hamlet in the town of Mount Pleasant in Westchester County, New York, known for its suburban character and proximity to major reservoirs and parklands.
-
E.
Valhalla
Valhalla is the majestic hall in Norse mythology where Odin receives and houses warriors who have died heroically in battle.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623d76808190988990a8dc263ef7 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.