Triple

T9779468
Position Surface form Disambiguated ID Type / Status
Subject Ardennes department E237328 entity
Predicate contains P35 FINISHED
Object Givet
Givet is a small fortified town in northeastern France near the Belgian border, known for its strategic location along the Meuse River.
 E819821 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: Givet | Statement: [Ardennes department, contains, Givet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Givet
Context triple: [Ardennes department, contains, Givet]
  • A. Givan
    Givan is a surname most notably associated with Paul Givan, a Northern Irish politician who has served as First Minister of Northern Ireland.
  • B. Giæver
    Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
  • C. Donen
    Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
  • D. Annett
    Annett is a given name, typically a variant of Annette, used for females in various European countries.
  • E. Gein
    Gein is a metro station in Amsterdam, Netherlands, serving as one of the termini of the city's metro network.
  • 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: Givet
Triple: [Ardennes department, contains, Givet]
Generated description
Givet is a small fortified town in northeastern France near the Belgian border, known for its strategic location along the Meuse River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Givet
Target entity description: Givet is a small fortified town in northeastern France near the Belgian border, known for its strategic location along the Meuse River.
  • A. Givan
    Givan is a surname most notably associated with Paul Givan, a Northern Irish politician who has served as First Minister of Northern Ireland.
  • B. Giæver
    Giæver is a Norwegian surname borne by several notable figures in fields such as physics, literature, and public service.
  • C. Donen
    Donen is a surname most famously associated with Stanley Donen, the American film director and choreographer known for classic Hollywood musicals such as "Singin' in the Rain."
  • D. Annett
    Annett is a given name, typically a variant of Annette, used for females in various European countries.
  • E. Gein
    Gein is a metro station in Amsterdam, Netherlands, serving as one of the termini of the city's metro network.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda13663f081909b95563038eb6485 completed April 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd28b0e48190984cf44d88f324d7 completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1be259b388190bf60b97a6be12715 completed April 5, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69d1bea090b48190ae903036cc79dded completed April 5, 2026, 1:45 a.m.
Created at: March 30, 2026, 8:27 p.m.