Triple

T6115717
Position Surface form Disambiguated ID Type / Status
Subject Camden County E136354 entity
Predicate containsBorough P300 FINISHED
Object Hi-Nella
Hi-Nella is a small borough in southern New Jersey, known for its primarily residential character within the Philadelphia metropolitan area.
 E568305 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: Hi-Nella | Statement: [Camden County, containsBorough, Hi-Nella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hi-Nella
Context triple: [Camden County, containsBorough, Hi-Nella]
  • A. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • B. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • C. Hilda
    Hilda is a central character in Nathaniel Hawthorne’s novel "The Marble Faun," depicted as a pure-hearted American artist living in Rome whose moral idealism contrasts with the story’s darker themes.
  • D. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • E. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • 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: Hi-Nella
Triple: [Camden County, containsBorough, Hi-Nella]
Generated description
Hi-Nella is a small borough in southern New Jersey, known for its primarily residential character within the Philadelphia metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hi-Nella
Target entity description: Hi-Nella is a small borough in southern New Jersey, known for its primarily residential character within the Philadelphia metropolitan area.
  • A. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • B. Hilda
    Hilda is the middle name of Margaret Thatcher, the former Prime Minister of the United Kingdom.
  • C. Hilda
    Hilda is a central character in Nathaniel Hawthorne’s novel "The Marble Faun," depicted as a pure-hearted American artist living in Rome whose moral idealism contrasts with the story’s darker themes.
  • D. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • E. Zella
    Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bc246e48190b4f3d52eb682aa45 completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1256aa9f8819090fdc98343af6f8e completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c126dd44888190b20a02ede3705918 completed March 23, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69c1276a279c8190a6833c8c986e1291 completed March 23, 2026, 11:43 a.m.
Created at: March 22, 2026, 4:14 p.m.