Triple

T6838675
Position Surface form Disambiguated ID Type / Status
Subject Ramparts of Avignon E157514 entity
Predicate hasGate P4365 FINISHED
Object Porte de la Ligne
Porte de la Ligne is a historic city gate that forms part of the medieval fortifications of Avignon in southern France.
 E623158 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: Porte de la Ligne | Statement: [Ramparts of Avignon, hasGate, Porte de la Ligne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porte de la Ligne
Context triple: [Ramparts of Avignon, hasGate, Porte de la Ligne]
  • A. Porte de la Gardette
    Porte de la Gardette is a historic city gate in the medieval fortified town of Aigues-Mortes in southern France.
  • B. Porte Saint-Martin
    Porte Saint-Martin is a 17th-century triumphal arch in Paris, France, built to commemorate Louis XIV’s military victories and located near the Place de la République.
  • C. Porte du Soubeyran
    Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern France.
  • D. Porte de la Chapelle
    Porte de la Chapelle is a neighborhood and former city gate area in northern Paris known as a major transport hub and gateway into the city.
  • E. Porte Saint-Georges
    Porte Saint-Georges is a historic city gate in Vendôme, France, notable as a remnant of the town’s medieval fortifications.
  • 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: Porte de la Ligne
Triple: [Ramparts of Avignon, hasGate, Porte de la Ligne]
Generated description
Porte de la Ligne is a historic city gate that forms part of the medieval fortifications of Avignon in southern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porte de la Ligne
Target entity description: Porte de la Ligne is a historic city gate that forms part of the medieval fortifications of Avignon in southern France.
  • A. Porte de la Gardette
    Porte de la Gardette is a historic city gate in the medieval fortified town of Aigues-Mortes in southern France.
  • B. Porte Saint-Martin
    Porte Saint-Martin is a 17th-century triumphal arch in Paris, France, built to commemorate Louis XIV’s military victories and located near the Place de la République.
  • C. Porte du Soubeyran
    Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern France.
  • D. Porte de la Chapelle
    Porte de la Chapelle is a neighborhood and former city gate area in northern Paris known as a major transport hub and gateway into the city.
  • E. Porte Saint-Georges
    Porte Saint-Georges is a historic city gate in Vendôme, France, notable as a remnant of the town’s medieval fortifications.
  • 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_69c6882c53608190b99aebef079b23bd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d67ee1c88190b82a9b6b3d1e3875 completed March 27, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72fb02e0c8190ae1514875e03208a completed March 28, 2026, 1:32 a.m.
NEDg Description generation batch_69c7311ca4a081908ec2b1d0096b021f completed March 28, 2026, 1:38 a.m.
NED2 Entity disambiguation (via description) batch_69c7316a9cc081908c088725cb7626e8 completed March 28, 2026, 1:39 a.m.
Created at: March 27, 2026, 2:19 p.m.