Triple

T8098735
Position Surface form Disambiguated ID Type / Status
Subject Belgian railway line 161 E189051 entity
Predicate serves P98 FINISHED
Object Libramont
Libramont is a town in the Walloon region of Belgium that functions as a local transport hub, including a railway station on key national lines.
 E710740 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: Libramont | Statement: [Belgian railway line 161, serves, Libramont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Libramont
Context triple: [Belgian railway line 161, serves, Libramont]
  • A. Papelotte
    Papelotte is a farmhouse and hamlet in Belgium that served as a key defensive position on the Allied left flank during the Battle of Waterloo in 1815.
  • B. Watermael-Boitsfort
    Watermael-Boitsfort is a largely residential, green municipality in the southeastern part of Brussels, Belgium, known for its garden cities and proximity to the Sonian Forest.
  • C. Lambermont
    Lambermont is the official residence of the Prime Minister of Belgium, located in Brussels.
  • D. Lancy
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • E. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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: Libramont
Triple: [Belgian railway line 161, serves, Libramont]
Generated description
Libramont is a town in the Walloon region of Belgium that functions as a local transport hub, including a railway station on key national lines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Libramont
Target entity description: Libramont is a town in the Walloon region of Belgium that functions as a local transport hub, including a railway station on key national lines.
  • A. Papelotte
    Papelotte is a farmhouse and hamlet in Belgium that served as a key defensive position on the Allied left flank during the Battle of Waterloo in 1815.
  • B. Watermael-Boitsfort
    Watermael-Boitsfort is a largely residential, green municipality in the southeastern part of Brussels, Belgium, known for its garden cities and proximity to the Sonian Forest.
  • C. Lambermont
    Lambermont is the official residence of the Prime Minister of Belgium, located in Brussels.
  • D. Lancy
    Lancy is a suburban municipality in western Switzerland that forms part of the urban area of Geneva.
  • E. Thoiry
    Thoiry is a commune in the Ain department of eastern France, located near the Swiss border in the Pays de Gex region.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42961ad4819085d023427fc5ac5f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc641a4b4881908a1aec4bc2ed619e completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc68652bb0819098cd14d4431a4cd0 completed April 1, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69cc69531a3c8190b712b3df6beefb7b completed April 1, 2026, 12:39 a.m.
Created at: March 30, 2026, 5:30 p.m.