Triple

T15529042
Position Surface form Disambiguated ID Type / Status
Subject Strand E370161 entity
Predicate hasIsland P970 FINISHED
Object Heng
Heng is a small tidal island off the coast of the Isle of Strand, known for its rugged shoreline and natural coastal scenery.
 E1162504 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: Heng | Statement: [Strand, hasIsland, Heng]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Heng
Context triple: [Strand, hasIsland, Heng]
  • A. Xianheng
    Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • B. Hua
    Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
  • C. Huan
    Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
  • D. Weihan
    Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
  • E. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • 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: Heng
Triple: [Strand, hasIsland, Heng]
Generated description
Heng is a small tidal island off the coast of the Isle of Strand, known for its rugged shoreline and natural coastal scenery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Heng
Target entity description: Heng is a small tidal island off the coast of the Isle of Strand, known for its rugged shoreline and natural coastal scenery.
  • A. Xianheng
    Xianheng was a Chinese imperial era name used during the reign of Emperor Gaozong of the Tang dynasty.
  • B. Hua
    Hua is a Chinese given name commonly used for both males and females, often associated with meanings like "flower" or "China."
  • C. Huan
    Huan is a given name most notably associated with the contemporary Chinese artist Zhang Huan, known for his performance and conceptual art.
  • D. Weihan
    Weihan is a Chinese given name most notably borne by Li Weihan, a prominent Chinese Communist revolutionary and politician.
  • E. Yuanhong
    Yuanhong is a Chinese given name that appears in the full name of the historical figure Li Yuanhong.
  • 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_69d85cc521a08190921fb50319dddc34 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e0414620588190958ffde651ccab5f completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d5b989c8190a76612df167ba1dd completed May 9, 2026, 1:57 p.m.
NEDg Description generation batch_69ff3ea7d5ac81908bd1ee64de39dba7 completed May 9, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff413a68488190a6c8907e36a602dc completed May 9, 2026, 2:14 p.m.
Created at: April 10, 2026, 4:05 a.m.