Triple

T367579
Position Surface form Disambiguated ID Type / Status
Subject London Borough of Bromley E7995 entity
Predicate settlement P8239 FINISHED
Object Penge
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
E47020 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: Penge | Statement: [London Borough of Bromley, settlement, Penge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Penge
Context triple: [London Borough of Bromley, settlement, Penge]
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Kapa o Pango
    Kapa o Pango is a modern, specially composed haka performed by New Zealand’s All Blacks rugby team to express their identity, strength, and connection to Māori culture.
  • C. Poike
    Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
  • D. Rappen
    Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
  • E. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • 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: Penge
Triple: [London Borough of Bromley, settlement, Penge]
Generated description
Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Penge
Target entity description: Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Kapa o Pango
    Kapa o Pango is a modern, specially composed haka performed by New Zealand’s All Blacks rugby team to express their identity, strength, and connection to Māori culture.
  • C. Poike
    Poike is one of the three main extinct volcanic cones that form the triangular shape of Easter Island in the southeastern Pacific Ocean.
  • D. Rappen
    Rappen is the German term for the centime-like subunit of the Swiss franc, used to denote its smaller denominations.
  • E. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ee29ede0819095279af95b53e350 completed Feb. 28, 2026, 1:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3f0a5e5dc81909363a31e9b713368 completed March 1, 2026, 7:54 a.m.
NEDg Description generation batch_69a3f128b6008190afacdb055a84a9c4 completed March 1, 2026, 7:56 a.m.
NED2 Entity disambiguation (via description) batch_69a3f181e55c8190a3995775ff6ceeb9 completed March 1, 2026, 7:57 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.