Triple

T9511115
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth, New Jersey E229395 entity
Predicate hasNeighborhood P40 FINISHED
Object Elizabethport
Elizabethport is a historic waterfront neighborhood and port district in the city of Elizabeth, New Jersey.
 E804306 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: Elizabethport | Statement: [Elizabeth, New Jersey, hasNeighborhood, Elizabethport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Elizabethport
Context triple: [Elizabeth, New Jersey, hasNeighborhood, Elizabethport]
  • A. Milport
    Milport is a fictional British parliamentary constituency featured in Patrick O’Brian’s Aubrey–Maturin historical naval novels.
  • B. Leverburgh
    Leverburgh is a small coastal village on the Isle of Harris in Scotland’s Outer Hebrides, known as a ferry port and fishing community.
  • C. Richborough
    Richborough is a historic site in Kent, England, known for its significant Roman remains and its role as a key gateway to Roman Britain.
  • D. Landport
    Landport is a historic inner-city district of Portsmouth, England, known for its dense urban character and proximity to the city centre on Portsea Island.
  • E. Castletown
    Castletown is a residential suburb and former village within the city of Sunderland in the Wearside area of North East England.
  • 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: Elizabethport
Triple: [Elizabeth, New Jersey, hasNeighborhood, Elizabethport]
Generated description
Elizabethport is a historic waterfront neighborhood and port district in the city of Elizabeth, New Jersey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Elizabethport
Target entity description: Elizabethport is a historic waterfront neighborhood and port district in the city of Elizabeth, New Jersey.
  • A. Milport
    Milport is a fictional British parliamentary constituency featured in Patrick O’Brian’s Aubrey–Maturin historical naval novels.
  • B. Leverburgh
    Leverburgh is a small coastal village on the Isle of Harris in Scotland’s Outer Hebrides, known as a ferry port and fishing community.
  • C. Richborough
    Richborough is a historic site in Kent, England, known for its significant Roman remains and its role as a key gateway to Roman Britain.
  • D. Landport
    Landport is a historic inner-city district of Portsmouth, England, known for its dense urban character and proximity to the city centre on Portsea Island.
  • E. Castletown
    Castletown is a residential suburb and former village within the city of Sunderland in the Wearside area of North East England.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9868616c8190856f89fecfa1a02e completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a37c7ec8190a24ae0eec76b4f67 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c1a73c88190a4308c3246864a5f completed April 4, 2026, 4:28 p.m.
NED2 Entity disambiguation (via description) batch_69d13c8b5d688190871f6830d0bda3ef completed April 4, 2026, 4:30 p.m.
Created at: March 30, 2026, 7:58 p.m.