Triple

T2333638
Position Surface form Disambiguated ID Type / Status
Subject Thanh Trì District E44260 entity
Predicate hasSubdivision P747 FINISHED
Object Tân Triều commune
Tân Triều commune is a local administrative unit within the suburban Thanh Trì District on the outskirts of Hanoi, Vietnam.
E261021 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: Tân Triều commune | Statement: [Thanh Trì District, hasSubdivision, Tân Triều commune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tân Triều commune
Context triple: [Thanh Trì District, hasSubdivision, Tân Triều commune]
  • A. Lê Thanh Commune
    Lê Thanh Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • B. An Tiến Commune
    An Tiến Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • C. Phùng Xá Commune
    Phùng Xá Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • D. Vạn Kim Commune
    Vạn Kim Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • E. An Phú Commune
    An Phú Commune is a rural administrative subdivision located within Mỹ Đức District of 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: Tân Triều commune
Triple: [Thanh Trì District, hasSubdivision, Tân Triều commune]
Generated description
Tân Triều commune is a local administrative unit within the suburban Thanh Trì District on the outskirts of Hanoi, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tân Triều commune
Target entity description: Tân Triều commune is a local administrative unit within the suburban Thanh Trì District on the outskirts of Hanoi, Vietnam.
  • A. Lê Thanh Commune
    Lê Thanh Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • B. An Tiến Commune
    An Tiến Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • C. Phùng Xá Commune
    Phùng Xá Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • D. Vạn Kim Commune
    Vạn Kim Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • E. An Phú Commune
    An Phú Commune is a rural administrative subdivision located within Mỹ Đức District of 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_69a889132b488190bbb43ad4780ddd92 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc66d7ea081908867ff494b70df1e completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea87cbe688190a97a4c11c46f9f54 completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aeaa6cb58081909a0897d4cb328063 completed March 9, 2026, 11:09 a.m.
NED2 Entity disambiguation (via description) batch_69aeabb6d43481908899080f6ca58101 completed March 9, 2026, 11:15 a.m.
Created at: March 4, 2026, 7:51 p.m.