Triple
T4434672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buskerud |
E95618
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lier |
E433544
|
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: Lier | Statement: [Buskerud, contains, Lier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lier Context triple: [Buskerud, contains, Lier]
-
A.
Lier
Lier is a historic Belgian city in the province of Antwerp, known for its picturesque medieval center, the Zimmer Tower, and its UNESCO-listed beguinage.
-
B.
Lier
chosen
Lier is a municipality in Buskerud county, Norway, known for its agricultural landscapes and proximity to the city of Drammen.
-
C.
Kortrijk
Kortrijk is a historic city in western Belgium known for its medieval architecture, textile industry heritage, and role in the Battle of the Golden Spurs.
-
D.
Antwerp
Antwerp is a major Belgian port city on the River Scheldt, renowned as a global center for the diamond trade and its historic Flemish art and architecture.
-
E.
Liège
Liège is a major city in eastern Belgium known for its industrial heritage, vibrant cultural scene, and position along the Meuse River.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35588e99881908fea7b71a33e2bb6 |
completed | March 13, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6137378dc8190900c8fda2693c4da |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:31 p.m.