Triple
T10711672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Höxter |
E252551
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Albaxen
Albaxen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
|
E880991
|
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: Albaxen | Statement: [Höxter, hasSubdivision, Albaxen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albaxen Context triple: [Höxter, hasSubdivision, Albaxen]
-
A.
Alixan
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
-
B.
Albini
Albini is an Italian surname most notably associated with influential recording engineer and musician Steve Albini.
-
C.
Xylok
Xylok is a fictional alien species, likely characterized by non-human biology and culture, to which the character Mr Smith belongs.
-
D.
Arlanxeo
Arlanxeo is a global synthetic rubber company specializing in high-performance elastomer products for the automotive, construction, and industrial sectors.
-
E.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
- 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: Albaxen Triple: [Höxter, hasSubdivision, Albaxen]
Generated description
Albaxen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albaxen Target entity description: Albaxen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
-
A.
Alixan
Alixan is a commune in southeastern France, near Valence in the Drôme department, known for hosting the Valence TGV high-speed rail station.
-
B.
Albini
Albini is an Italian surname most notably associated with influential recording engineer and musician Steve Albini.
-
C.
Xylok
Xylok is a fictional alien species, likely characterized by non-human biology and culture, to which the character Mr Smith belongs.
-
D.
Arlanxeo
Arlanxeo is a global synthetic rubber company specializing in high-performance elastomer products for the automotive, construction, and industrial sectors.
-
E.
Alberoni
Alberoni is an Italian surname most notably associated with Giulio Alberoni, an influential 18th-century cardinal and statesman.
- 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_69d6aa5cbabc8190973e683950d89faf |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fe523de08190a82c8f057fe8baf6 |
completed | April 9, 2026, 1:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d99917df2c819099be2a9b9c4a2ce7 |
completed | April 11, 2026, 12:43 a.m. |
| NEDg | Description generation | batch_69d99e8632688190b3746649a124ca09 |
completed | April 11, 2026, 1:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69dadccd1d7081908ae53b97d2c2a6cb |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 8, 2026, 9:13 p.m.