Triple
T6753727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asten |
E154400
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Meijel |
E578288
|
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: Meijel | Statement: [Asten, borderedBy, Meijel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meijel Context triple: [Asten, borderedBy, Meijel]
-
A.
Meijel
chosen
Meijel is a village in the Dutch province of Limburg, known for its proximity to the peat bog landscapes and birdlife of De Groote Peel National Park.
-
B.
Akkerman
Akkerman, historically known as Cetatea Albă and now called Bilhorod-Dnistrovskyi, is an ancient fortress town in southwestern Ukraine near the Black Sea.
-
C.
Wassenaar
Wassenaar is an affluent coastal town in the western Netherlands known for its wooded estates, beaches, and role as a residential area for diplomats and expatriates.
-
D.
Teuge
Teuge is a village in the Netherlands known for its small international airport and skydiving activities.
-
E.
Rozenburg
Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f32fa08190bb23dc24fef14c8d |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b1c4594819084716e21b16191e3 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:11 p.m.