Triple
T6756750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam bus network |
E154479
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Diemen |
E210294
|
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: Diemen | Statement: [Amsterdam bus network, serves, Diemen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diemen Context triple: [Amsterdam bus network, serves, Diemen]
-
A.
Diemen
chosen
Diemen is a town and municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
-
B.
Volendam
Volendam is a traditional Dutch fishing village and popular tourist destination known for its historic harbor, wooden houses, and preserved local costumes.
-
C.
Eemhaven
Eemhaven is a major container and short-sea shipping terminal area within the Port of Rotterdam in the Netherlands.
-
D.
Lessines
Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
-
E.
Onderdendam
Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
- 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_69c6d1f76c9c81908c213772a54f1352 |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4de5bc08190a569701311631bd3 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 2:11 p.m.