Triple
T10220639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siddeburen |
E242566
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Appingedam |
E242557
|
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: Appingedam | Statement: [Siddeburen, locatedNear, Appingedam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Appingedam Context triple: [Siddeburen, locatedNear, Appingedam]
-
A.
Appingedam
chosen
Appingedam is a historic town and former municipality in the province of Groningen in the Netherlands, known for its medieval center and characteristic hanging kitchens over the Damsterdiep canal.
-
B.
Ilpendam
Ilpendam is a small village in the Dutch province of North Holland, known for its traditional rural character and proximity to Amsterdam.
-
C.
Zandhoven
Zandhoven is a municipality in the Belgian province of Antwerp, known for its rural character and village communities.
-
D.
Gailingen
Gailingen is a village in the German municipality of Gailingen am Hochrhein in the state of Baden-Württemberg, near the Swiss border along the High Rhine.
-
E.
Warffum
Warffum is a historic village in the Dutch province of Groningen, known for its traditional architecture and open-air museum showcasing rural life.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa72b258819097d8d50a714e19dc |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d74fd5df188190b5ad2e57abeb6b13 |
completed | April 9, 2026, 7:05 a.m. |
Created at: April 6, 2026, 11:09 a.m.