Triple

T37987003
Position Surface form Disambiguated ID Type / Status
Subject Hainesport Township, New Jersey E947715 entity
Predicate hasNeighboringCountySeat P81315 FINISHED
Object Mount Holly Township, New Jersey NE NERFINISHED

How this triple was built (2 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: Mount Holly Township, New Jersey | Statement: [Hainesport Township, New Jersey, hasNeighboringCountySeat, Mount Holly Township, New Jersey]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNeighboringCountySeat
Context triple: [Hainesport Township, New Jersey, hasNeighboringCountySeat, Mount Holly Township, New Jersey]
  • A. hasCountySeatWithin
    Indicates that the designated county’s official administrative center (county seat) is located within the specified geographic area or boundary.
  • B. hasNearbyCounty
    Indicates that one county is geographically close to or directly adjacent to another county.
  • C. adjacentCountySeat chosen
    Indicates that the county seat of one county is directly next to or bordering the county seat of another county.
  • D. hasCountySeatCounty
    Indicates that a county seat is administratively associated with and serves as the seat of government for a specific county.
  • E. hasCountySeatRelation
    Indicates that a specific place serves as the county seat (administrative center) of a particular county.
  • F. None of above.

Provenance (3 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_69f76ef8a1d08190a741bbbc5970e3b3 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a00b34364448190b8c9948d5a24d845 completed May 10, 2026, 4:33 p.m.
PD Predicate disambiguation batch_6a00b2e4f13c819081bac7d763c414ad completed May 10, 2026, 4:31 p.m.
Created at: May 3, 2026, 4:20 p.m.