Triple

T2851151
Position Surface form Disambiguated ID Type / Status
Subject Indochinese Peninsula E63094 entity
Predicate highestPoint P210 FINISHED
Object Fansipan
Fansipan is the tallest mountain in Vietnam and the entire Indochinese Peninsula, often called the "Roof of Indochina."
E303124 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: Fansipan | Statement: [Indochinese Peninsula, highestPoint, Fansipan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fansipan
Context triple: [Indochinese Peninsula, highestPoint, Fansipan]
  • A. Fipa
    Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
  • B. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • C. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • D. Panamik
    Panamik is a remote village in India’s Ladakh region, known for its hot springs and scenic location in the Nubra Valley near the Siachen Glacier.
  • E. Pericos
    Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
  • 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: Fansipan
Triple: [Indochinese Peninsula, highestPoint, Fansipan]
Generated description
Fansipan is the tallest mountain in Vietnam and the entire Indochinese Peninsula, often called the "Roof of Indochina."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fansipan
Target entity description: Fansipan is the tallest mountain in Vietnam and the entire Indochinese Peninsula, often called the "Roof of Indochina."
  • A. Fipa
    Fipa is the name of a Bantu-speaking ethnic group primarily inhabiting the Rukwa Region of southwestern Tanzania.
  • B. Honancho
    Honancho is a neighborhood in Tokyo, Japan, known as a residential area with convenient access to central city districts via the Tokyo Metro Marunouchi Line.
  • C. Haps
    Haps is a village in the Dutch province of North Brabant, now part of the municipality of Land van Cuijk.
  • D. Panamik
    Panamik is a remote village in India’s Ladakh region, known for its hot springs and scenic location in the Nubra Valley near the Siachen Glacier.
  • E. Pericos
    Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
  • 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_69ab4c407c408190857d25e027155ce9 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf5ca2648190bd32c6ec4b0dd3b6 completed March 7, 2026, 8:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8e23694819089b38a10e1bc2f03 completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afea2358b88190a91ef389f5a98cea completed March 10, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69b0035854e88190a8750b3291aa41c4 completed March 10, 2026, 11:41 a.m.
Created at: March 6, 2026, 10:02 p.m.