Triple
T4671229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret, Maid of Norway |
E102966
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Tønsberg, Norway |
E112118
|
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: Tønsberg, Norway | Statement: [Margaret, Maid of Norway, birthPlace, Tønsberg, Norway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tønsberg, Norway Context triple: [Margaret, Maid of Norway, birthPlace, Tønsberg, Norway]
-
A.
Folkestad, Norway
Folkestad, Norway is a small village in Norway historically notable as the birthplace of King Haakon IV.
-
B.
Ballangen, Norway
Ballangen, Norway is a small former mining municipality in Nordland county known for its scenic fjord landscape in Northern Norway.
-
C.
Tønsberg
chosen
Tønsberg is a historic coastal town in southeastern Norway, often regarded as one of the country’s oldest cities and known for its Viking heritage and maritime culture.
-
D.
Lysaker, Norway
Lysaker, Norway is a suburban area in Bærum just west of Oslo, known as a residential and commercial hub and historically associated with notable figures such as explorer Fridtjof Nansen.
-
E.
Hamar, Norway
Hamar, Norway is a town in southeastern Norway known for its prominent ice sports facilities and role as a major venue for international speed skating competitions.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd63506090819083ff8271adc5ef75 |
completed | March 20, 2026, 3:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be039538048190b4075daf47355cee |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:15 p.m.