Triple
T377200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Vith |
E8397
|
entity |
| Predicate | hasMunicipalSections |
P10450
|
FINISHED |
| Object |
Crombach
Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
|
E49768
|
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: Crombach | Statement: [St. Vith, hasMunicipalSections, Crombach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crombach Context triple: [St. Vith, hasMunicipalSections, Crombach]
-
A.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
B.
Crompond
Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
-
C.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
D.
Mossenberg-Wöhren
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
-
E.
Starnberg
Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
- 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: Crombach Triple: [St. Vith, hasMunicipalSections, Crombach]
Generated description
Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crombach Target entity description: Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
-
A.
Houffalize
Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
-
B.
Crompond
Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
-
C.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
D.
Mossenberg-Wöhren
Mossenberg-Wöhren is a small village in North Rhine-Westphalia, Germany, known primarily as the birthplace of former German chancellor Gerhard Schröder.
-
E.
Starnberg
Starnberg is a lakeside town in Bavaria, Germany, known for its affluent residential character and scenic location on Lake Starnberg southwest of Munich.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ee2b0ec481908fac41a4e1d20468 |
completed | Feb. 28, 2026, 1:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405f2a8108190a5d0398b7735661e |
completed | March 1, 2026, 9:25 a.m. |
| NEDg | Description generation | batch_69a4070f76308190bd898dcdb27f3277 |
completed | March 1, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40794523081908839f90446beba83 |
completed | March 1, 2026, 9:32 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.