Triple

T10619412
Position Surface form Disambiguated ID Type / Status
Subject Ans E295668 entity
Predicate hasSubdivision P747 FINISHED
Object Xhendremael
Xhendremael is a small village in the municipality of Ans in the province of Liège, Belgium.
E875472 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: Xhendremael | Statement: [Ans, hasSubdivision, Xhendremael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Xhendremael
Context triple: [Ans, hasSubdivision, Xhendremael]
  • A. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • B. Caimbeul
    Caimbeul is the original Scottish Gaelic form of the surname Campbell, historically associated with a powerful Highland clan.
  • C. Moorenweis
    Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
  • D. Magdelon
    Magdelon is one of the two naive, pretentious young women satirized for their affected manners and romantic fantasies in Molière’s comedy *Les Précieuses ridicules*.
  • E. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • 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: Xhendremael
Triple: [Ans, hasSubdivision, Xhendremael]
Generated description
Xhendremael is a small village in the municipality of Ans in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Xhendremael
Target entity description: Xhendremael is a small village in the municipality of Ans in the province of Liège, Belgium.
  • A. Danneels
    Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
  • B. Caimbeul
    Caimbeul is the original Scottish Gaelic form of the surname Campbell, historically associated with a powerful Highland clan.
  • C. Moorenweis
    Moorenweis is a rural municipality in Upper Bavaria, Germany, known for its agricultural landscape and small-village character.
  • D. Magdelon
    Magdelon is one of the two naive, pretentious young women satirized for their affected manners and romantic fantasies in Molière’s comedy *Les Précieuses ridicules*.
  • E. Reynst
    Reynst is a Dutch surname historically associated with prominent merchants and officials of the Dutch Golden Age.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96b86a5bc8190863034cc91fdbbb9 completed April 10, 2026, 9:28 p.m.
NEDg Description generation batch_69d96def8bfc81909d6a5addf724691b completed April 10, 2026, 9:38 p.m.
NED2 Entity disambiguation (via description) batch_69d96fedb18881908570593856f4aade completed April 10, 2026, 9:47 p.m.
Created at: April 8, 2026, 8:21 p.m.