Triple

T10619528
Position Surface form Disambiguated ID Type / Status
Subject Hannut E295670 entity
Predicate hasSubdivision P747 FINISHED
Object Abolens
Abolens is a village in the municipality of Hannut in the province of Liège, Belgium.
 E875498 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: Abolens | Statement: [Hannut, hasSubdivision, Abolens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Abolens
Context triple: [Hannut, hasSubdivision, Abolens]
  • A. Thoosa
    Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
  • B. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • C. Melus
    Melus is the ancient Greek island city-state better known by its historical name Melos, noted for its role in the Peloponnesian War and the discovery of the Venus de Milo.
  • D. Abisare
    Abisare was an early 2nd-millennium BCE king of the ancient Mesopotamian city-state of Larsa, known for consolidating its power in southern Babylonia.
  • E. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • 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: Abolens
Triple: [Hannut, hasSubdivision, Abolens]
Generated description
Abolens is a village in the municipality of Hannut in the province of Liège, Belgium.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Abolens
Target entity description: Abolens is a village in the municipality of Hannut in the province of Liège, Belgium.
  • A. Thoosa
    Thoosa is a minor sea nymph in Greek mythology, known primarily as the mother of the Cyclops Polyphemus by the sea god Poseidon.
  • B. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • C. Melus
    Melus is the ancient Greek island city-state better known by its historical name Melos, noted for its role in the Peloponnesian War and the discovery of the Venus de Milo.
  • D. Abisare
    Abisare was an early 2nd-millennium BCE king of the ancient Mesopotamian city-state of Larsa, known for consolidating its power in southern Babylonia.
  • E. Aegitna
    Aegitna is the ancient name of the city now known as Cannes on the French Riviera.
  • 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_69d6df6fc47c8190b77b61a7fd223d65 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.