Triple

T2739301
Position Surface form Disambiguated ID Type / Status
Subject Province of Liège E60709 entity
Predicate containsMunicipality P852 FINISHED
Object Waremme
Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
 E295667 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: Waremme | Statement: [Province of Liège, containsMunicipality, Waremme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waremme
Context triple: [Province of Liège, containsMunicipality, Waremme]
  • A. Warji
    Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
  • B. Oszmiana
    Oszmiana is a historic town in present-day Belarus that was once an important local center within the former Polish–Lithuanian Commonwealth.
  • C. Shompen
    The Shompen are an isolated indigenous people of Great Nicobar Island, known for their semi-nomadic forest-based lifestyle and limited contact with the outside world.
  • D. Walewein
    Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
  • E. Vårsta
    Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
  • 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: Waremme
Triple: [Province of Liège, containsMunicipality, Waremme]
Generated description
Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waremme
Target entity description: Waremme is a municipality and town in the Walloon Region of Belgium, known as a local administrative and commercial center in the Province of Liège.
  • A. Warji
    Warji is a Chadic language spoken primarily in northern Nigeria by the Warji people.
  • B. Oszmiana
    Oszmiana is a historic town in present-day Belarus that was once an important local center within the former Polish–Lithuanian Commonwealth.
  • C. Shompen
    The Shompen are an isolated indigenous people of Great Nicobar Island, known for their semi-nomadic forest-based lifestyle and limited contact with the outside world.
  • D. Walewein
    Walewein is the Middle Dutch name for Sir Gawain, a prominent knight of the Round Table in Arthurian legend known for his chivalry and complex moral tests.
  • E. Vårsta
    Vårsta is a small locality in eastern Sweden, situated within Botkyrka Municipality in Stockholm County.
  • 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_69ab4b77febc819095603eb012cd141b completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb2da94c8190bc9d23262e3dfc07 completed March 7, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbc607d88190bc35ce56ac26dbf9 completed March 10, 2026, 6:35 a.m.
NEDg Description generation batch_69afbce109f48190be1a31d9300dbee6 completed March 10, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69afbda490ac8190bb12598e26b91677 completed March 10, 2026, 6:43 a.m.
Created at: March 6, 2026, 9:56 p.m.