Triple

T27450133
Position Surface form Disambiguated ID Type / Status
Subject Cheat River E692409 entity
Predicate popularTakeOut P175315 FINISHED
Object Jenkinsburg Bridge area
The Jenkinsburg Bridge area is a well-known riverside spot along the Cheat River commonly used by paddlers as a convenient take-out and access point.
E1772283 NE FINISHED

How this triple was built (3 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: Jenkinsburg Bridge area | Statement: [Cheat River, popularTakeOut, Jenkinsburg Bridge area]
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: Jenkinsburg Bridge area
Triple: [Cheat River, popularTakeOut, Jenkinsburg Bridge area]
Generated description
The Jenkinsburg Bridge area is a well-known riverside spot along the Cheat River commonly used by paddlers as a convenient take-out and access point.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: popularTakeOut
Context triple: [Cheat River, popularTakeOut, Jenkinsburg Bridge area]
  • A. offersTakeout
    Indicates that a provider makes its products or services available for customers to pick up and consume off-site.
  • B. takesAway
    Indicates that one entity removes, deprives, or causes another entity to lose something it previously had.
  • C. foodService
    Indicates that one entity provides, manages, or is responsible for supplying food or meal-related services to another entity.
  • D. alsoEats
    Indicates that an entity consumes something in addition to another item or items it already eats.
  • E. storesFood
    Indicates that one entity keeps or holds food items for future use or consumption.
  • F. None of above. chosen

Provenance (7 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_69ef5206c9248190b5975c2a7f9d229c completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f6d1d916f881909575c2b22c416a5b completed May 3, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12b25e49e481908f3eb00ca2b783ac completed May 24, 2026, 8:10 a.m.
NEDg Description generation batch_6a12b3d5fee88190ac3967d51bd879a3 completed May 24, 2026, 8:16 a.m.
NED2 Entity disambiguation (via description) batch_6a12b456bad48190b232cd4968f2b041 completed May 24, 2026, 8:18 a.m.
PD Predicate disambiguation batch_69f6cfe2183481908ae4e85a59c66f69 completed May 3, 2026, 4:32 a.m.
PDg Predicate description generation batch_69f6d0d331dc8190be5aa6bfc6365e67 completed May 3, 2026, 4:36 a.m.
Created at: April 27, 2026, 12:47 p.m.