Triple
T13358059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vallendar |
E318745
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Mallendar
Mallendar is a locality or district that forms part of the municipality of Vallendar in Germany.
|
E1037609
|
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: Mallendar | Statement: [Vallendar, hasSubdivision, Mallendar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mallendar Context triple: [Vallendar, hasSubdivision, Mallendar]
-
A.
Bergharen
Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
-
B.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
-
C.
Lhote
Lhote is a French surname most notably associated with André Lhote, a prominent 20th-century Cubist painter and art teacher.
-
D.
Montoni
Montoni is the ruthless and manipulative Italian nobleman who serves as the primary antagonist in Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho."
-
E.
Malcantone
Malcantone is a picturesque hilly region in the Swiss canton of Ticino, known for its chestnut forests, traditional villages, and scenic hiking trails near the Italian border.
- 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: Mallendar Triple: [Vallendar, hasSubdivision, Mallendar]
Generated description
Mallendar is a locality or district that forms part of the municipality of Vallendar in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mallendar Target entity description: Mallendar is a locality or district that forms part of the municipality of Vallendar in Germany.
-
A.
Bergharen
Bergharen is a village in the Dutch province of Gelderland, known for its historic church and rural surroundings.
-
B.
Mauguio
Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
-
C.
Lhote
Lhote is a French surname most notably associated with André Lhote, a prominent 20th-century Cubist painter and art teacher.
-
D.
Montoni
Montoni is the ruthless and manipulative Italian nobleman who serves as the primary antagonist in Ann Radcliffe’s Gothic novel "The Mysteries of Udolpho."
-
E.
Malcantone
Malcantone is a picturesque hilly region in the Swiss canton of Ticino, known for its chestnut forests, traditional villages, and scenic hiking trails near the Italian border.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da62887e588190bd7241c720a112a2 |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f72677b2a48190aad30f3ee6cacefb |
completed | May 3, 2026, 10:41 a.m. |
| NEDg | Description generation | batch_69f727512c94819091985c7942f40b31 |
completed | May 3, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f72b77d650819092c02f6488b2cfb2 |
completed | May 3, 2026, 11:03 a.m. |
Created at: April 9, 2026, 9:32 p.m.