Triple

T644072
Position Surface form Disambiguated ID Type / Status
Subject Georges Sorel E11203 entity
Predicate placeOfBirth P1 FINISHED
Object Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
 E81934 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: Manche | Statement: [Georges Sorel, placeOfBirth, Manche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manche
Context triple: [Georges Sorel, placeOfBirth, Manche]
  • A. Maalla
    Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
  • B. Dorado
    Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
  • C. Ganmain
    Ganmain is a small rural town in the Riverina region of New South Wales, Australia, known for its wheat farming and annual agricultural show.
  • D. The Bay
    The Bay is a major Canadian department store chain offering a wide range of fashion, home goods, and accessories.
  • E. Crompond
    Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
  • 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: Manche
Triple: [Georges Sorel, placeOfBirth, Manche]
Generated description
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manche
Target entity description: Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
  • A. Maalla
    Maalla is a district of the port city of Aden in Yemen, historically significant as part of the former British-controlled Colony of Aden.
  • B. Dorado
    Dorado is a coastal municipality in northern Puerto Rico known for its upscale resorts, golf courses, and residential communities.
  • C. Ganmain
    Ganmain is a small rural town in the Riverina region of New South Wales, Australia, known for its wheat farming and annual agricultural show.
  • D. The Bay
    The Bay is a major Canadian department store chain offering a wide range of fashion, home goods, and accessories.
  • E. Crompond
    Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
  • 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_69a493266a2881909daf4c40f719dee8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f18216081908331aa12dac40214 completed March 1, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5914419848190bfdc565fb9a80022 completed March 2, 2026, 1:31 p.m.
NEDg Description generation batch_69a5921e700081909ffd12d1186d4395 completed March 2, 2026, 1:35 p.m.
NED2 Entity disambiguation (via description) batch_69a5927bd8508190b390136092103835 completed March 2, 2026, 1:37 p.m.
Created at: March 1, 2026, 7:36 p.m.