Triple
T5700980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benschop |
E125660
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Lopik |
E323465
|
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: Lopik | Statement: [Benschop, partOf, Lopik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lopik Context triple: [Benschop, partOf, Lopik]
-
A.
Lopik
chosen
Lopik is a rural municipality and town in the central Netherlands, known for its agricultural landscape and location along the river Lek.
-
B.
Pikaliiva
Pikaliiva is a residential subdistrict of Tallinn, Estonia, located within the Haabersti district.
-
C.
Lapinig
Lapinig is a coastal municipality in the province of Northern Samar in the Philippines.
-
D.
Lutakko
Lutakko is a central lakeside district of Jyväskylä, Finland, known for its modern residential areas, event venues, and the annual Jyväskylä Rock Festival.
-
E.
Lopra
Lopra is a small village located on the island of Suðuroy in the Faroe Islands.
- 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_69c0082c96988190b3a6a201edce472a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c024540afc8190aee3760f71ea39c2 |
completed | March 22, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a5fe4fc8190944a63a29da0fe3c |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:45 p.m.