Triple
T16804766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ooij |
E408449
|
entity |
| Predicate | hasCategory |
P87
|
FINISHED |
| Object | Berg en Dal (municipality) |
E84054
|
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: Berg en Dal (municipality) | Statement: [Ooij, hasCategory, Berg en Dal (municipality)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berg en Dal (municipality) Context triple: [Ooij, hasCategory, Berg en Dal (municipality)]
-
A.
Berg en Dal
chosen
Berg en Dal is a Dutch municipality in the province of Gelderland, known for its hilly landscape, forests, and proximity to the city of Nijmegen.
-
B.
Bekkersdal
Bekkersdal is a township in South Africa’s Gauteng province, historically known as a mining community with significant socio-economic challenges.
-
C.
Valldal
Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
-
D.
Högdalen
Högdalen is a suburban district in southern Stockholm, Sweden, known for its residential areas and local shopping center.
-
E.
Beerenberg
Beerenberg is an active stratovolcano and the northernmost subaerial volcano on Earth, dominating the Arctic island of Jan Mayen in the North Atlantic.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cb68508190a05749bad68f7b43 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28d3a808190bc94a4f09a10da7e |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.