Triple

T9218411
Position Surface form Disambiguated ID Type / Status
Subject Luxembourg Province E221297 entity
Predicate containsTown P847 FINISHED
Object Martelange
Martelange is a small Belgian town known for straddling the border with Luxembourg and serving as a local commercial and transit hub.
E789228 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: Martelange | Statement: [Luxembourg Province, containsTown, Martelange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martelange
Context triple: [Luxembourg Province, containsTown, Martelange]
  • A. Morlanwelz
    Morlanwelz is a municipality in the Hainaut province of Wallonia, Belgium, known as part of the industrial region of the Charleroi basin.
  • B. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • C. Maringe
    Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
  • D. d’Oultremont
    d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
  • E. Morangis
    Morangis is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • 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: Martelange
Triple: [Luxembourg Province, containsTown, Martelange]
Generated description
Martelange is a small Belgian town known for straddling the border with Luxembourg and serving as a local commercial and transit hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Martelange
Target entity description: Martelange is a small Belgian town known for straddling the border with Luxembourg and serving as a local commercial and transit hub.
  • A. Morlanwelz
    Morlanwelz is a municipality in the Hainaut province of Wallonia, Belgium, known as part of the industrial region of the Charleroi basin.
  • B. Lantheuil
    Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
  • C. Maringe
    Maringe is an alternate name for the Cheke Holo language spoken in the Solomon Islands.
  • D. d’Oultremont
    d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
  • E. Morangis
    Morangis is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • 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_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda730f688190b64b2cc8c4898ac3 completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0b1ba860c8190b621b9fe88bc6ba2 completed April 4, 2026, 6:37 a.m.
NEDg Description generation batch_69d0b2e45674819091c7e1102c8844a5 completed April 4, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69d0b36590088190a92401d5f6c4c947 completed April 4, 2026, 6:44 a.m.
Created at: March 30, 2026, 7:27 p.m.