Triple
T9910010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lommel |
E185115
|
entity |
| Predicate | borderWith |
P224
|
FINISHED |
| Object | Bree |
E537806
|
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: Bree | Statement: [Lommel, borderWith, Bree]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bree Context triple: [Lommel, borderWith, Bree]
-
A.
Bree
Bree is a central character in the science-fiction film "Transcendence," closely connected to the story’s exploration of artificial intelligence and technological ethics.
-
B.
Bree
chosen
Bree is a small city and municipality in the Belgian province of Limburg, known for its historic town center and rural surroundings.
-
C.
Brielle
Brielle is a historic fortified town in the Dutch province of South Holland, known for its well-preserved medieval center and role in the Eighty Years' War.
-
D.
Brenna
Brenna is a Norwegian surname most notably borne by Tonje Brenna, a contemporary Norwegian politician.
-
E.
Brenna
Brenna is a village and popular tourist resort in southern Poland, situated in the Silesian Beskids mountain range.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb51184d08190a0350f2722110811 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20db5979081909b8e292ac6bb7c2f |
completed | April 5, 2026, 7:22 a.m. |
Created at: March 30, 2026, 8:41 p.m.