Triple

T4783904
Position Surface form Disambiguated ID Type / Status
Subject Shangchuan Island E106429 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Sancian
Sancian is an alternative historical name for Shangchuan Island, a coastal island in Guangdong Province, China, known for its role in early European-Asian maritime trade.
E468899 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: Sancian | Statement: [Shangchuan Island, hasAlternativeSpelling, Sancian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sancian
Context triple: [Shangchuan Island, hasAlternativeSpelling, Sancian]
  • A. Sagiada
    Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
  • B. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • C. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • D. Trasmondo
    Trasmondo is an Italian given name historically associated with the noble Conti di Segni family.
  • E. Saka
    Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
  • 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: Sancian
Triple: [Shangchuan Island, hasAlternativeSpelling, Sancian]
Generated description
Sancian is an alternative historical name for Shangchuan Island, a coastal island in Guangdong Province, China, known for its role in early European-Asian maritime trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sancian
Target entity description: Sancian is an alternative historical name for Shangchuan Island, a coastal island in Guangdong Province, China, known for its role in early European-Asian maritime trade.
  • A. Sagiada
    Sagiada is a small coastal town in northwestern Greece, near the Albanian border, known for its fishing harbor and views over the Ionian Sea.
  • B. Sanchica
    Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
  • C. Oschiri
    Oschiri is a small town and comune in the Gallura region of northern Sardinia, Italy, known for its rural landscape and archaeological sites.
  • D. Trasmondo
    Trasmondo is an Italian given name historically associated with the noble Conti di Segni family.
  • E. Saka
    Saka is an ancient Eastern Iranian language once spoken by the Saka people in the Tarim Basin region of Central Asia.
  • 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_69bd43f4a9588190bf73e20bc27c03cc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd65ae49ec81908f16248d22d1155f completed March 20, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43dbdec88190817845e7930a18f6 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be447c21d48190ab57c8761e733ff4 completed March 21, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69be45f5ebec8190b62c428b465d1bd9 completed March 21, 2026, 7:17 a.m.
Created at: March 20, 2026, 1:22 p.m.