Triple

T8098734
Position Surface form Disambiguated ID Type / Status
Subject Belgian railway line 161 E189051 entity
Predicate serves P98 FINISHED
Object Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
 E719694 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: Marloie | Statement: [Belgian railway line 161, serves, Marloie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marloie
Context triple: [Belgian railway line 161, serves, Marloie]
  • A. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • B. Bonaly
    Bonaly is the surname of French figure skater Surya Bonaly, renowned for her powerful athleticism and signature backflip on ice.
  • C. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • D. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • E. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue 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: Marloie
Triple: [Belgian railway line 161, serves, Marloie]
Generated description
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marloie
Target entity description: Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
  • A. Mouriès
    Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
  • B. Bonaly
    Bonaly is the surname of French figure skater Surya Bonaly, renowned for her powerful athleticism and signature backflip on ice.
  • C. Roquebillière
    Roquebillière is a small commune in southeastern France, situated in the Alpes-Maritimes department in the Provence-Alpes-Côte d’Azur region.
  • D. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • E. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue 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_69ccecf8f4a48190be0af148a9da4713 completed April 1, 2026, 10:01 a.m.
NEDg Description generation batch_69ccf09a952c8190ace6a9f0012ad90a completed April 1, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69cd055292088190927046793cec1c36 completed April 1, 2026, 11:45 a.m.
Created at: March 30, 2026, 5:30 p.m.