Triple
T12116552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grootegast |
E288576
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Grootegast (village) |
E288576
|
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: Grootegast (village) | Statement: [Grootegast, hasSettlement, Grootegast (village)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grootegast (village) Context triple: [Grootegast, hasSettlement, Grootegast (village)]
-
A.
Grootegast
chosen
Grootegast is a former municipality in the Dutch province of Groningen that was incorporated into the larger municipality of Westerkwartier.
-
B.
Gasthuismolensteeg
Gasthuismolensteeg is a small historic alley in Amsterdam’s canal district, forming part of the picturesque Negen Straatjes (Nine Streets) shopping and heritage area.
-
C.
Oud Gastel
Oud Gastel is a village in the Dutch province of North Brabant, known as one of the population centers within the municipality of Halderberge.
-
D.
village of Klazienaveen
The village of Klazienaveen is a settlement in the municipality of Emmen in the province of Drenthe in the northeastern Netherlands.
-
E.
Doornhoek
Doornhoek is an industrial estate in the town of Veghel in the Netherlands, known for hosting various logistics, manufacturing, and commercial businesses.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a75f77881908345a585a689f69f |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.