Triple

T8634834
Position Surface form Disambiguated ID Type / Status
Subject Giang Biên E204494 entity
Predicate capitalOf P204 FINISHED
Object
Giang Biên is a ward-level administrative area in Long Biên District of Hanoi, Vietnam.
 E747699 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:  | Statement: [Giang Biên, capitalOf, ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 
Context triple: [Giang Biên, capitalOf, ]
  • A.
    Morehead State University is a public university in Morehead, Kentucky, known for its strong programs in education, space science, and regional outreach.
  • B.
    Surquillo is a district in the Lima Province of Peru, known for its central urban location and bustling commercial activity within the Lima metropolitan area.
  • C.
    East Millstone, New Jersey is an unincorporated community and census-designated place in Franklin Township, Somerset County, known for its historic character and residential setting.
  • D. Fo
    Fo is the given name of Sun Fo, a prominent Chinese politician and son of Sun Yat-sen.
  • E. Torrent
    Torrent is a municipality in eastern Spain that forms part of the metropolitan area of Valencia and is one of the largest towns in the Valencian Community.
  • 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: 
Triple: [Giang Biên, capitalOf, ]
Generated description
Giang Biên is a ward-level administrative area in Long Biên District of Hanoi, Vietnam.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 
Target entity description: Giang Biên is a ward-level administrative area in Long Biên District of Hanoi, Vietnam.
  • A.
    East Millstone, New Jersey is an unincorporated community and census-designated place in Franklin Township, Somerset County, known for its historic character and residential setting.
  • B.
    Morehead State University is a public university in Morehead, Kentucky, known for its strong programs in education, space science, and regional outreach.
  • C.
    Surquillo is a district in the Lima Province of Peru, known for its central urban location and bustling commercial activity within the Lima metropolitan area.
  • D. Fo
    Fo is the given name of Sun Fo, a prominent Chinese politician and son of Sun Yat-sen.
  • E. Torrent
    Torrent is a municipality in eastern Spain that forms part of the metropolitan area of Valencia and is one of the largest towns in the Valencian Community.
  • 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_69ca834b903c8190add96cc651e1a477 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc475fb9dc8190bd0d6e5edd05ea79 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebc1b330c81909ff8a6806401dfd1 completed April 2, 2026, 6:57 p.m.
NEDg Description generation batch_69cebd2cb2e481909a2862e79482c37a completed April 2, 2026, 7:02 p.m.
NED2 Entity disambiguation (via description) batch_69cebdd77b6c81908c35ee96dfe053d8 completed April 2, 2026, 7:04 p.m.
Created at: March 30, 2026, 6:27 p.m.