Triple
T22435889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nied |
E554621
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Nied-Nord
Nied-Nord is a residential subdistrict of the Nied quarter in Frankfurt am Main, Germany.
|
E1536990
|
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: Nied-Nord | Statement: [Nied, hasPart, Nied-Nord]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nied-Nord Context triple: [Nied, hasPart, Nied-Nord]
-
A.
Nienoord
Nienoord is a historic Dutch estate and former noble manor known for its stately house, gardens, and heritage attractions in the province of Groningen.
-
B.
Noorden
Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
-
C.
Westfalen
Westfalen is a historical region in northwestern Germany, now largely part of the state of North Rhine-Westphalia, known for its distinct cultural identity and medieval heritage.
-
D.
West Betuwe
West Betuwe is a municipality in the Dutch province of Gelderland, known for its rural landscape, historic villages, and location along major rivers in the central Netherlands.
-
E.
Noord
Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
- 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: Nied-Nord Triple: [Nied, hasPart, Nied-Nord]
Generated description
Nied-Nord is a residential subdistrict of the Nied quarter in Frankfurt am Main, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nied-Nord Target entity description: Nied-Nord is a residential subdistrict of the Nied quarter in Frankfurt am Main, Germany.
-
A.
Nienoord
Nienoord is a historic Dutch estate and former noble manor known for its stately house, gardens, and heritage attractions in the province of Groningen.
-
B.
Noorden
Noorden is a village in the Dutch province of South Holland, known for its rural character and surrounding lakes and peatland nature reserves.
-
C.
Westfalen
Westfalen is a historical region in northwestern Germany, now largely part of the state of North Rhine-Westphalia, known for its distinct cultural identity and medieval heritage.
-
D.
West Betuwe
West Betuwe is a municipality in the Dutch province of Gelderland, known for its rural landscape, historic villages, and location along major rivers in the central Netherlands.
-
E.
Noord
Noord is a major river in the western Netherlands that forms part of the Rhine–Meuse–Scheldt delta and serves as an important waterway for regional shipping and transport.
- 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_69e11e5010e48190ae1e9c9db9697637 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ade60508190b0100d5c2843b920 |
completed | April 29, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c6ba6c48190961dd15f495f98c0 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0d3a0040819088ecd28b64478e3f |
completed | May 18, 2026, 12:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0dd04094819095653ada8483ba77 |
completed | May 18, 2026, 1:02 p.m. |
Created at: April 16, 2026, 8:47 p.m.