Triple

T33878000
Position Surface form Disambiguated ID Type / Status
Subject Lucy Snowe E868407 entity
Predicate residesInFictionalCountry P47688 FINISHED
Object Labassecour
Labassecour is the fictional continental European country in Charlotte Brontë’s novel "Villette," where much of the story’s action unfolds.
 E2071629 NE FINISHED

How this triple was built (3 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: Labassecour | Statement: [Lucy Snowe, residesInFictionalCountry, Labassecour]
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: Labassecour
Triple: [Lucy Snowe, residesInFictionalCountry, Labassecour]
Generated description
Labassecour is the fictional continental European country in Charlotte Brontë’s novel "Villette," where much of the story’s action unfolds.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: residesInFictionalCountry
Context triple: [Lucy Snowe, residesInFictionalCountry, Labassecour]
  • A. locatedInFictionalCountry
    Indicates that an entity exists or is situated within a country that is fictional rather than real.
  • B. residesInFictionalLocation chosen
    Indicates that an entity lives or is based in a location that is explicitly fictional or imaginary.
  • C. bornInFictionalSetting
    Indicates that a character’s birth occurs within a fictional, imagined, or non-real-world setting.
  • D. basedInFictionalLocation
    Indicates that an entity’s primary setting, origin, or operations occur in a fictional (non-real) location.
  • E. basedInFictionalSetting
    Indicates that an entity’s primary location or setting exists within a fictional or imaginary world rather than the real world.
  • F. None of above.

Provenance (6 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_69f34995b81c8190acdb45cea5a10eff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f70b966860819089cf92927f47c5f1 completed May 3, 2026, 8:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36762c4df881908ebcbdba7dc99957 completed June 20, 2026, 11:14 a.m.
NEDg Description generation batch_6a3676e442208190b316373c4b23df03 completed June 20, 2026, 11:17 a.m.
NED2 Entity disambiguation (via description) batch_6a3677b8a3748190895cb5ccd2f90f6b completed June 20, 2026, 11:21 a.m.
PD Predicate disambiguation batch_69f70abe43e08190b2a30930d96247c1 completed May 3, 2026, 8:43 a.m.
Created at: May 1, 2026, 1:48 a.m.