Triple

T4941534
Position Surface form Disambiguated ID Type / Status
Subject Cambrai E110945 entity
Predicate hasLandmark P105 FINISHED
Object Porte de Paris
Porte de Paris is a historic city gate in Cambrai, France, notable for its monumental architecture and role as a former entrance to the fortified town.
 E481309 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 Paris | Statement: [Cambrai, hasLandmark, Porte de Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Porte de Paris
Context triple: [Cambrai, hasLandmark, Porte de Paris]
  • A. Porte Molitor
    Porte Molitor is a Paris Métro station in the 16th arrondissement of Paris, France.
  • B. Porte de Saint-Ouen
    Porte de Saint-Ouen is a Paris Métro station in the 17th arrondissement serving the northwestern part of the city near the Porte de Saint-Ouen city gate.
  • C. Porte de Vincennes
    Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
  • D. Porte Dorée
    Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
  • E. Porte du Soubeyran
    Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern 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: Porte de Paris
Triple: [Cambrai, hasLandmark, Porte de Paris]
Generated description
Porte de Paris is a historic city gate in Cambrai, France, notable for its monumental architecture and role as a former entrance to the fortified town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Porte de Paris
Target entity description: Porte de Paris is a historic city gate in Cambrai, France, notable for its monumental architecture and role as a former entrance to the fortified town.
  • A. Porte Molitor
    Porte Molitor is a Paris Métro station in the 16th arrondissement of Paris, France.
  • B. Porte de Saint-Ouen
    Porte de Saint-Ouen is a Paris Métro station in the 17th arrondissement serving the northwestern part of the city near the Porte de Saint-Ouen city gate.
  • C. Porte de Vincennes
    Porte de Vincennes is a major Parisian intersection and metro station in the 12th arrondissement, serving as a key gateway between central Paris and its eastern suburbs.
  • D. Porte Dorée
    Porte Dorée is an ornate historic gateway of the Château de Fontainebleau, notable for its richly decorated Renaissance architecture.
  • E. Porte du Soubeyran
    Porte du Soubeyran is a historic medieval city gate and landmark in the town of Marvejols in southern 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd708ba9888190baf4e79c8f159e9f completed March 20, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77c19090819084f6b98d22c2b3a0 completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be79617a788190a2e7ae0a234002da completed March 21, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_69be79ce18a48190a61880aaa00f02e0 completed March 21, 2026, 10:58 a.m.
Created at: March 20, 2026, 1:31 p.m.