Triple

T1764715
Position Surface form Disambiguated ID Type / Status
Subject Mỹ Đức District E38735 entity
Predicate contains P35 FINISHED
Object Thượng Lâm Commune
Thượng Lâm Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
E221615 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: Thượng Lâm Commune | Statement: [Mỹ Đức District, contains, Thượng Lâm Commune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thượng Lâm Commune
Context triple: [Mỹ Đức District, contains, Thượng Lâm Commune]
  • A. Phúc Lâm Commune
    Phúc Lâm Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • B. Phùng Xá Commune
    Phùng Xá Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • C. Lê Thanh Commune
    Lê Thanh Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • D. Hùng Tiến Commune
    Hùng Tiến Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • E. An Tiến Commune
    An Tiến 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: Thượng Lâm Commune
Triple: [Mỹ Đức District, contains, Thượng Lâm Commune]
Generated description
Thượng Lâm Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Thượng Lâm Commune
Target entity description: Thượng Lâm Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • A. Phúc Lâm Commune
    Phúc Lâm Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • B. Phùng Xá Commune
    Phùng Xá Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • C. Lê Thanh Commune
    Lê Thanh Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • D. Hùng Tiến Commune
    Hùng Tiến Commune is a rural administrative subdivision located within Mỹ Đức District of Hanoi, Vietnam.
  • E. An Tiến Commune
    An Tiến 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa646665088190afa31bdf48f14316 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae030371e88190982c822a460d3e47 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae039a7c948190b8b4b4c2045007d3 completed March 8, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69ae04253a80819092c112faddec1de1 completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:31 p.m.