Triple

T5838890
Position Surface form Disambiguated ID Type / Status
Subject Barnes E129542 entity
Predicate hasPart P35 FINISHED
Object Castelnau
Castelnau is a district in the London Borough of Richmond upon Thames, known for its broad avenue of Victorian villas leading to Hammersmith Bridge.
 E551833 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: Castelnau | Statement: [Barnes, hasPart, Castelnau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Castelnau
Context triple: [Barnes, hasPart, Castelnau]
  • A. Castelroussin
    Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
  • B. Castelnaudary
    Castelnaudary is a historic market town in southern France renowned as a culinary capital for its traditional cassoulet dish.
  • C. Castellane
    Castellane is a historic small town in southeastern France known as a gateway to the Verdon Gorge and as an administrative center in the Alpes-de-Haute-Provence department.
  • D. Castelvirois
    Castelvirois is the French demonym for inhabitants of the commune of Viry-Châtillon in the southern suburbs of Paris.
  • E. Château-Neuf
    Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
  • 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: Castelnau
Triple: [Barnes, hasPart, Castelnau]
Generated description
Castelnau is a district in the London Borough of Richmond upon Thames, known for its broad avenue of Victorian villas leading to Hammersmith Bridge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Castelnau
Target entity description: Castelnau is a district in the London Borough of Richmond upon Thames, known for its broad avenue of Victorian villas leading to Hammersmith Bridge.
  • A. Castelroussin
    Castelroussin is the French demonym for an inhabitant of the city of Châteauroux in central France.
  • B. Castelnaudary
    Castelnaudary is a historic market town in southern France renowned as a culinary capital for its traditional cassoulet dish.
  • C. Castellane
    Castellane is a historic small town in southeastern France known as a gateway to the Verdon Gorge and as an administrative center in the Alpes-de-Haute-Provence department.
  • D. Castelvirois
    Castelvirois is the French demonym for inhabitants of the commune of Viry-Châtillon in the southern suburbs of Paris.
  • E. Château-Neuf
    Château-Neuf is a historic fortress in Bayonne, France, that once formed part of the city’s defensive stronghold along the Adour River.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
NEDg Description generation batch_69c0a572f52481908fc4f2a833fd8edf completed March 23, 2026, 2:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0a5d17d5c8190a5fe816d29400894 completed March 23, 2026, 2:30 a.m.
Created at: March 22, 2026, 3:54 p.m.