Triple

T25101679
Position Surface form Disambiguated ID Type / Status
Subject Oldfield Park E628741 entity
Predicate hasMainShoppingStreet P86862 FINISHED
Object Moorland Road
Moorland Road is a busy local high street in the Oldfield Park area of Bath, England, known for its mix of independent shops, cafes, and everyday services.
 E234347 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: Moorland Road | Statement: [Oldfield Park, hasMainShoppingStreet, Moorland Road]
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: Moorland Road
Triple: [Oldfield Park, hasMainShoppingStreet, Moorland Road]
Generated description
Moorland Road is a busy local high street in the Oldfield Park area of Bath, England, known for its mix of independent shops, cafes, and everyday services.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMainShoppingStreet
Context triple: [Oldfield Park, hasMainShoppingStreet, Moorland Road]
  • A. hasMainStreet
    Indicates that a place or locality possesses a primary street commonly recognized as its main thoroughfare.
  • B. hasCentralStreet chosen
    Indicates that a place or area possesses a primary or main street that serves as its central thoroughfare.
  • C. hasShoppingDistrict
    Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
  • D. hasShoppingStreetLength
    Indicates the length or extent of a shopping street associated with a given place or area.
  • E. hasShoppingDistrictName
    Indicates that an entity’s shopping district is identified by a specific name.
  • F. None of above.

Provenance (6 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_69e2ff3071548190b62d1ac237397197 completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f69edbb7648190bd89c57e0932eac1 completed May 3, 2026, 1:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5a75e3a9f88190bd5d8f1ec1353528 completed July 17, 2026, 6:35 p.m.
NEDg Description generation batch_6a5a76c2f6848190a0f761f4e7d2d0cc completed July 17, 2026, 6:38 p.m.
NED2 Entity disambiguation (via description) batch_6a5a77d8232c8190ad80eb4690ede44f completed July 17, 2026, 6:43 p.m.
PD Predicate disambiguation batch_69f69d17e8d48190b30bcc2f4bd81eb2 completed May 3, 2026, 12:55 a.m.
Created at: April 18, 2026, 6:25 a.m.