Triple

T16192196
Position Surface form Disambiguated ID Type / Status
Subject Yates County E392968 entity
Predicate contains P35 FINISHED
Object Branchport
Branchport is a small hamlet and lakeside community in New York’s Finger Lakes region, situated at the north end of the western branch of Keuka Lake.
 E1199226 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: Branchport | Statement: [Yates County, contains, Branchport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Branchport
Context triple: [Yates County, contains, Branchport]
  • A. Ridgley
    Ridgley is a rural locality in Tasmania, Australia, situated inland from the coastal city of Burnie.
  • B. Battlecreek
    Battlecreek is a 2017 American drama film about a young man with a rare skin condition living in a small Mississippi town, directed by Alison Eastwood.
  • C. Hartland
    Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
  • D. Hartland
    Hartland is a small rural town in northwestern Connecticut known for its forests, reservoirs, and low population density.
  • E. Hartland
    Hartland is a suburban village in Waukesha County, Wisconsin, known for its residential communities and proximity to the Milwaukee metropolitan area.
  • 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: Branchport
Triple: [Yates County, contains, Branchport]
Generated description
Branchport is a small hamlet and lakeside community in New York’s Finger Lakes region, situated at the north end of the western branch of Keuka Lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Branchport
Target entity description: Branchport is a small hamlet and lakeside community in New York’s Finger Lakes region, situated at the north end of the western branch of Keuka Lake.
  • A. Ridgley
    Ridgley is a rural locality in Tasmania, Australia, situated inland from the coastal city of Burnie.
  • B. Battlecreek
    Battlecreek is a 2017 American drama film about a young man with a rare skin condition living in a small Mississippi town, directed by Alison Eastwood.
  • C. Hartland
    Hartland is a given name most notably borne by American theoretical physicist Hartland Snyder, known for his early work on non-commutative geometry in quantum field theory.
  • D. Hartland
    Hartland is a small rural town in northwestern Connecticut known for its forests, reservoirs, and low population density.
  • E. Hartland
    Hartland is a suburban village in Waukesha County, Wisconsin, known for its residential communities and proximity to the Milwaukee metropolitan area.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d6975c8190a512a65d5b0021bb completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0002419cec81909e3cec70968b65a4 completed May 10, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0002ad960c81909c308a12da9b65d6 completed May 10, 2026, 3:59 a.m.
Created at: April 10, 2026, 5:02 a.m.