Triple
T6735837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamm |
E153750
|
entity |
| Predicate | hasDistricts |
P1679
|
FINISHED |
| Object |
Heessen
Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
|
E690951
|
NE FINISHED |
How this triple was built (4 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: Heessen | Statement: [Hamm, hasDistricts, Heessen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heessen Context triple: [Hamm, hasDistricts, Heessen]
-
A.
Nieuwendam
Nieuwendam is a historic neighborhood in the northern part of Amsterdam, known for its former village character and waterfront location along the IJ.
-
B.
Honselersdijk
Honselersdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
-
C.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
D.
Onderdendam
Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
-
E.
Hulst
Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Heessen Triple: [Hamm, hasDistricts, Heessen]
Generated description
Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heessen Target entity description: Heessen is a district of the German city of Hamm, located in the state of North Rhine-Westphalia.
-
A.
Nieuwendam
Nieuwendam is a historic neighborhood in the northern part of Amsterdam, known for its former village character and waterfront location along the IJ.
-
B.
Honselersdijk
Honselersdijk is a village in the Dutch province of South Holland, known for its greenhouse horticulture and proximity to The Hague.
-
C.
Monnickendam
Monnickendam is a historic fishing town in North Holland, Netherlands, known for its well-preserved old harbor and traditional Dutch architecture.
-
D.
Onderdendam
Onderdendam is a small historic village in the Dutch province of Groningen, known for its canals, bridges, and traditional architecture.
-
E.
Hulst
Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
- F. None of above. chosen
Provenance (5 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18369d88190a73349075462202b |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c95fea69f081908995d192c4e1977f |
completed | March 29, 2026, 5:22 p.m. |
| NEDg | Description generation | batch_69c961168d8c81908558193941fc4317 |
completed | March 29, 2026, 5:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c9614a39688190bf248c3ed611a560 |
completed | March 29, 2026, 5:28 p.m. |
Created at: March 27, 2026, 2:09 p.m.