Triple

T3446425
Position Surface form Disambiguated ID Type / Status
Subject Lost Coast E72688 entity
Predicate hasPart P35 FINISHED
Object Petrolia
Petrolia is a small, remote community in Northern California known as a gateway to the rugged, sparsely populated Lost Coast region.
 E358961 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: Petrolia | Statement: [Lost Coast, hasPart, Petrolia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Petrolia
Context triple: [Lost Coast, hasPart, Petrolia]
  • A. Wallaceburg
    Wallaceburg is a small community in southwestern Ontario, Canada, known historically for its glass, sugar, and manufacturing industries along the Sydenham River.
  • B. Fort Frances
    Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
  • C. Kenora
    Kenora is a small city in northwestern Ontario, Canada, located on the shores of Lake of the Woods and known as a popular cottage and outdoor recreation destination.
  • D. Parksville
    Parksville is a small coastal city on eastern Vancouver Island in British Columbia, Canada, known for its sandy beaches and tourism.
  • E. Galt, Ontario
    Galt, Ontario was a historic town in southern Ontario that later became one of the constituent communities of the city of Cambridge.
  • 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: Petrolia
Triple: [Lost Coast, hasPart, Petrolia]
Generated description
Petrolia is a small, remote community in Northern California known as a gateway to the rugged, sparsely populated Lost Coast region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Petrolia
Target entity description: Petrolia is a small, remote community in Northern California known as a gateway to the rugged, sparsely populated Lost Coast region.
  • A. Wallaceburg
    Wallaceburg is a small community in southwestern Ontario, Canada, known historically for its glass, sugar, and manufacturing industries along the Sydenham River.
  • B. Fort Frances
    Fort Frances is a small Canadian town in northwestern Ontario located on the Rainy River along the U.S. border opposite International Falls, Minnesota.
  • C. Kenora
    Kenora is a small city in northwestern Ontario, Canada, located on the shores of Lake of the Woods and known as a popular cottage and outdoor recreation destination.
  • D. Parksville
    Parksville is a small coastal city on eastern Vancouver Island in British Columbia, Canada, known for its sandy beaches and tourism.
  • E. Galt, Ontario
    Galt, Ontario was a historic town in southern Ontario that later became one of the constituent communities of the city of Cambridge.
  • 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_69ad85b05c848190b7a28ceec2bd7b74 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba6efb188190b989fa4d6f28e16b completed March 8, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360e32ba08190bcd2f3cbe963c443 completed March 13, 2026, 12:57 a.m.
NEDg Description generation batch_69b3615cf80481908ff305f995d0b176 completed March 13, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69b36249b50881909ebae2d35b30cc1c completed March 13, 2026, 1:03 a.m.
Created at: March 8, 2026, 3:16 p.m.