Triple

T4577702
Position Surface form Disambiguated ID Type / Status
Subject Northern Pennsylvania E123178 entity
Predicate contains P35 FINISHED
Object Oil City
Oil City is a small city in northwestern Pennsylvania historically known as a center of the early American oil industry.
 E453534 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: Oil City | Statement: [Northern Pennsylvania, contains, Oil City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Oil City
Context triple: [Northern Pennsylvania, contains, Oil City]
  • A. Coal City
    Coal City is the popular nickname of Enugu, a major city in southeastern Nigeria historically known for its rich coal deposits and mining industry.
  • B. Coal City
    Coal City is a small unincorporated community in southern West Virginia, historically associated with the region’s coal mining industry.
  • C. Bessemer, Pennsylvania
    Bessemer, Pennsylvania is a small borough in western Pennsylvania known historically for its steel and industrial heritage.
  • D. Ambler
    Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
  • E. Ellwood City, Pennsylvania
    Ellwood City, Pennsylvania is a small industrial borough in western Pennsylvania known historically for its steel manufacturing and location along the Connoquenessing Creek.
  • 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: Oil City
Triple: [Northern Pennsylvania, contains, Oil City]
Generated description
Oil City is a small city in northwestern Pennsylvania historically known as a center of the early American oil industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Oil City
Target entity description: Oil City is a small city in northwestern Pennsylvania historically known as a center of the early American oil industry.
  • A. Coal City
    Coal City is the popular nickname of Enugu, a major city in southeastern Nigeria historically known for its rich coal deposits and mining industry.
  • B. Coal City
    Coal City is a small unincorporated community in southern West Virginia, historically associated with the region’s coal mining industry.
  • C. Bessemer, Pennsylvania
    Bessemer, Pennsylvania is a small borough in western Pennsylvania known historically for its steel and industrial heritage.
  • D. Ambler
    Ambler is a small Inupiat community and city in northwestern Alaska, located along the Kobuk River above the Arctic Circle.
  • E. Ellwood City, Pennsylvania
    Ellwood City, Pennsylvania is a small industrial borough in western Pennsylvania known historically for its steel manufacturing and location along the Connoquenessing Creek.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58e153908190ac8f578e03aecdfc completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3ee510481909d481b157bd0b2bd completed March 20, 2026, 11:10 p.m.
NEDg Description generation batch_69bdd5a85488819092a4a7cc4f58a425 completed March 20, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69bdd63370088190adca99373f83374f completed March 20, 2026, 11:20 p.m.
Created at: March 20, 2026, 1:10 p.m.