Triple
T14694634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lili Elbe |
E345121
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object | Vejle |
E211139
|
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: Vejle | Statement: [Lili Elbe, birthPlace, Vejle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vejle Context triple: [Lili Elbe, birthPlace, Vejle]
-
A.
Vejle
chosen
Vejle is a Danish city known for its scenic fjord setting, rolling hills, and role as a regional commercial and transportation hub in southeastern Jutland.
-
B.
Holbæk
Holbæk is a coastal town and municipality in northwestern Zealand, Denmark, known for its harbor on Holbæk Fjord and role as a regional commercial and cultural center.
-
C.
Tønder
Tønder is a historic market town in southern Denmark near the German border, known for its well-preserved old town and cultural heritage.
-
D.
Kolding
Kolding is a historic Danish city in Southern Jutland known for Koldinghus Castle, its fjord-side location, and its role as a regional cultural and educational center.
-
E.
Slagelse
Slagelse is a town on the island of Zealand in Denmark known for its military presence, historical significance, and role as a regional commercial center.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb586e7108190be644db9cf9a4d99 |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cdfb09481908021a3fc92962a00 |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:28 a.m.