Triple

T23041962
Position Surface form Disambiguated ID Type / Status
Subject Vinh E573759 entity
Predicate hasAdministrativeDivision P747 FINISHED
Object Hà Huy Tập Ward
Hà Huy Tập Ward is an urban administrative subdivision of the city of Vinh in north-central Vietnam.
E1568978 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: Hà Huy Tập Ward | Statement: [Vinh, hasAdministrativeDivision, Hà Huy Tập Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hà Huy Tập Ward
Context triple: [Vinh, hasAdministrativeDivision, Hà Huy Tập Ward]
  • A. HUY
    HUY is the National Rail station code for Huyton railway station in Merseyside, England.
  • B. Huy
    Huy is a hill range and forested area in Saxony-Anhalt, Germany, known for its natural landscapes and historical sites.
  • C. Huy
    Huy was an ancient Egyptian official known primarily as the father of Queen Merytre-Hatshepsut, Great Royal Wife of Pharaoh Thutmose III.
  • D. Huy
    Huy is a historic city in the Walloon region of Belgium, known for its medieval architecture and strategic location along the Meuse River.
  • E. Lê Đại Hành Ward
    Lê Đại Hành Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
  • 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: Hà Huy Tập Ward
Triple: [Vinh, hasAdministrativeDivision, Hà Huy Tập Ward]
Generated description
Hà Huy Tập Ward is an urban administrative subdivision of the city of Vinh in north-central Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hà Huy Tập Ward
Target entity description: Hà Huy Tập Ward is an urban administrative subdivision of the city of Vinh in north-central Vietnam.
  • A. HUY
    HUY is the National Rail station code for Huyton railway station in Merseyside, England.
  • B. Huy
    Huy is a hill range and forested area in Saxony-Anhalt, Germany, known for its natural landscapes and historical sites.
  • C. Huy
    Huy was an ancient Egyptian official known primarily as the father of Queen Merytre-Hatshepsut, Great Royal Wife of Pharaoh Thutmose III.
  • D. Huy
    Huy is a historic city in the Walloon region of Belgium, known for its medieval architecture and strategic location along the Meuse River.
  • E. Lê Đại Hành Ward
    Lê Đại Hành Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18513fc54819096d761a0be75b774 completed April 29, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ad85abc8190ab6328224aa3320f completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0f873d588190be23c0040c50024c completed May 19, 2026, 7:21 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0fe69cf0819091fe545b9fdfeaca completed May 19, 2026, 7:23 a.m.
Created at: April 17, 2026, 3:54 p.m.