Triple

T13656728
Position Surface form Disambiguated ID Type / Status
Subject Shirley E326879 entity
Predicate hasGreenSpace P1495 FINISHED
Object Shirley Hills
Shirley Hills is a large area of woodland and open heathland in Croydon, South London, known for its scenic views, walking trails, and rich wildlife.
E1052923 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: Shirley Hills | Statement: [Shirley, hasGreenSpace, Shirley Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirley Hills
Context triple: [Shirley, hasGreenSpace, Shirley Hills]
  • A. Shirley Hills
    Shirley Hills is the mother of English-American actress Gabrielle Anwar.
  • B. Red Hill
    Red Hill is a 2010 Australian neo-western thriller film known for its tense, minimalist storytelling and rural outback setting.
  • C. Red Hill
    Red Hill is the English name for Karmir Blur, an archaeological site in Armenia known for its ancient fortress and historical significance.
  • D. Red Hill
    Red Hill is a historic plantation in Charlotte County, Virginia, best known as the last home and burial place of American patriot Patrick Henry.
  • E. Sandy Hill
    Sandy Hill is a historic, centrally located Ottawa neighbourhood known for its mix of embassies, university buildings, and diverse residential areas.
  • 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: Shirley Hills
Triple: [Shirley, hasGreenSpace, Shirley Hills]
Generated description
Shirley Hills is a large area of woodland and open heathland in Croydon, South London, known for its scenic views, walking trails, and rich wildlife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shirley Hills
Target entity description: Shirley Hills is a large area of woodland and open heathland in Croydon, South London, known for its scenic views, walking trails, and rich wildlife.
  • A. Shirley Hills
    Shirley Hills is the mother of English-American actress Gabrielle Anwar.
  • B. Red Hill
    Red Hill is a 2010 Australian neo-western thriller film known for its tense, minimalist storytelling and rural outback setting.
  • C. Red Hill
    Red Hill is the English name for Karmir Blur, an archaeological site in Armenia known for its ancient fortress and historical significance.
  • D. Red Hill
    Red Hill is a historic plantation in Charlotte County, Virginia, best known as the last home and burial place of American patriot Patrick Henry.
  • E. Sandy Hill
    Sandy Hill is a historic, centrally located Ottawa neighbourhood known for its mix of embassies, university buildings, and diverse residential areas.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61d56e4819084ae3c16ecdf4a05 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b03083c8190855a2a4ee44e4098 completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78c0030e481909c20f21ddaa480dc completed May 3, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69f78d6d74bc8190ad5476a06e8fd8ad completed May 3, 2026, 6:01 p.m.
Created at: April 9, 2026, 9:52 p.m.