Triple
T12567028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Westphalia |
E295497
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Ringgau
Ringgau is a small municipality in the German state of Hesse, known for its rural landscape and location within the Ringgau hill range.
|
E981110
|
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: Ringgau | Statement: [Province of Westphalia, containsSettlement, Ringgau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ringgau Context triple: [Province of Westphalia, containsSettlement, Ringgau]
-
A.
Ringgau
Ringgau is a rural municipality in the Werra-Meißner district of northeastern Hesse, Germany, known for its scenic low mountain landscape near the Thuringian border.
-
B.
Dungun
Dungun is a coastal town in the state of Terengganu, Malaysia, known historically for fishing and nearby iron ore mining activities.
-
C.
Temerloh
Temerloh is a town in central Pahang, Malaysia, known as a regional commercial hub and gateway to the state's interior.
-
D.
Ratekau
Ratekau is a municipality in the district of Ostholstein in Schleswig-Holstein, northern Germany, near the Baltic Sea coast.
-
E.
Kuala Kangsar
Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
- 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: Ringgau Triple: [Province of Westphalia, containsSettlement, Ringgau]
Generated description
Ringgau is a small municipality in the German state of Hesse, known for its rural landscape and location within the Ringgau hill range.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ringgau Target entity description: Ringgau is a small municipality in the German state of Hesse, known for its rural landscape and location within the Ringgau hill range.
-
A.
Ringgau
chosen
Ringgau is a rural municipality in the Werra-Meißner district of northeastern Hesse, Germany, known for its scenic low mountain landscape near the Thuringian border.
-
B.
Dungun
Dungun is a coastal town in the state of Terengganu, Malaysia, known historically for fishing and nearby iron ore mining activities.
-
C.
Temerloh
Temerloh is a town in central Pahang, Malaysia, known as a regional commercial hub and gateway to the state's interior.
-
D.
Ratekau
Ratekau is a municipality in the district of Ostholstein in Schleswig-Holstein, northern Germany, near the Baltic Sea coast.
-
E.
Kuala Kangsar
Kuala Kangsar is a historic royal town in the Malaysian state of Perak, known as the traditional seat of the Perak Sultanate.
- F. None of above.
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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a325948190994bcfc9d571a3a8 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655914f908190afbebbec3cb57e73 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f657e504c881909b960acc7758b39d |
completed | May 2, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f658a80fd08190b1b8c161ca6e56ec |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 8, 2026, 11:49 p.m.