Triple

T4255262
Position Surface form Disambiguated ID Type / Status
Subject Crawley E95957 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Pound Hill
Pound Hill is a residential neighbourhood and one of the main suburban areas within the town of Crawley in West Sussex, England.
E442769 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: Pound Hill | Statement: [Crawley, hasNeighbourhood, Pound Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pound Hill
Context triple: [Crawley, hasNeighbourhood, Pound Hill]
  • A. Forbury Hill
    Forbury Hill is a historic earthwork mound in Reading, England, forming part of the Forbury Gardens near the ruins of Reading Abbey and long associated with medieval defensive and ceremonial uses.
  • B. Coal Hill
    Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
  • C. Wideford Hill
    Wideford Hill is a prominent hill on Mainland, Orkney, known for its panoramic views and nearby prehistoric archaeological sites.
  • D. Dowgate Hill
    Dowgate Hill is a street in the City of London’s financial district, situated near Cannon Street and close to the River Thames.
  • E. Lewesdon Hill
    Lewesdon Hill is a prominent, wooded hill in southwest England that forms the highest natural point in the county of Dorset.
  • 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: Pound Hill
Triple: [Crawley, hasNeighbourhood, Pound Hill]
Generated description
Pound Hill is a residential neighbourhood and one of the main suburban areas within the town of Crawley in West Sussex, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pound Hill
Target entity description: Pound Hill is a residential neighbourhood and one of the main suburban areas within the town of Crawley in West Sussex, England.
  • A. Forbury Hill
    Forbury Hill is a historic earthwork mound in Reading, England, forming part of the Forbury Gardens near the ruins of Reading Abbey and long associated with medieval defensive and ceremonial uses.
  • B. Coal Hill
    Coal Hill is an artificial hill and historic imperial garden located just north of the Forbidden City in Beijing, China.
  • C. Wideford Hill
    Wideford Hill is a prominent hill on Mainland, Orkney, known for its panoramic views and nearby prehistoric archaeological sites.
  • D. Dowgate Hill
    Dowgate Hill is a street in the City of London’s financial district, situated near Cannon Street and close to the River Thames.
  • E. Lewesdon Hill
    Lewesdon Hill is a prominent, wooded hill in southwest England that forms the highest natural point in the county of Dorset.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627c8265881908a9bfdb032389151 completed March 15, 2026, 3:30 a.m.
NEDg Description generation batch_69b628fe10908190978dd0361628f54f completed March 15, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69b629ab52c881909f7fbef6f77b5bc4 completed March 15, 2026, 3:38 a.m.
Created at: March 12, 2026, 11:06 p.m.