Triple

T11492970
Position Surface form Disambiguated ID Type / Status
Subject Purfleet-on-Thames E272460 entity
Predicate postTown P2711 FINISHED
Object PURFLEET
PURFLEET is a locality in Essex, England, historically known as Purfleet and now part of the town of Purfleet-on-Thames along the River Thames.
 E929014 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: PURFLEET | Statement: [Purfleet-on-Thames, postTown, PURFLEET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PURFLEET
Context triple: [Purfleet-on-Thames, postTown, PURFLEET]
  • A. Sweffling
    Sweffling is a small rural village and civil parish in the English county of Suffolk, known for its historic church and agricultural surroundings.
  • B. Felletin
    Felletin is a historic French town in the Creuse department renowned as a traditional center of tapestry weaving closely linked to the famed Aubusson tapestry industry.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Fluberg
    Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
  • E. Froyle
    Froyle is a small rural village in Hampshire, England, known for its historic church and traditional English countryside setting.
  • 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: PURFLEET
Triple: [Purfleet-on-Thames, postTown, PURFLEET]
Generated description
PURFLEET is a locality in Essex, England, historically known as Purfleet and now part of the town of Purfleet-on-Thames along the River Thames.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PURFLEET
Target entity description: PURFLEET is a locality in Essex, England, historically known as Purfleet and now part of the town of Purfleet-on-Thames along the River Thames.
  • A. Sweffling
    Sweffling is a small rural village and civil parish in the English county of Suffolk, known for its historic church and agricultural surroundings.
  • B. Felletin
    Felletin is a historic French town in the Creuse department renowned as a traditional center of tapestry weaving closely linked to the famed Aubusson tapestry industry.
  • C. Faventia
    Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
  • D. Fluberg
    Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
  • E. Froyle
    Froyle is a small rural village in Hampshire, England, known for its historic church and traditional English countryside setting.
  • 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_69d6aae1b09881909ce2ded3fa0c14fa completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85a21fb048190acb0960aefd4fe0a completed April 10, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6047d95548190b445aa3b4f1e71cc completed April 20, 2026, 10:48 a.m.
NEDg Description generation batch_69e610a6de0c8190aabda7ef7b7063a6 completed April 20, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69e61842b8848190b454cee480c69f7a completed April 20, 2026, 12:12 p.m.
Created at: April 8, 2026, 9:36 p.m.