Triple

T3015376
Position Surface form Disambiguated ID Type / Status
Subject Fengtai District E82323 entity
Predicate contains P35 FINISHED
Object Kandan
Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
 E321132 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: Kandan | Statement: [Fengtai District, contains, Kandan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kandan
Context triple: [Fengtai District, contains, Kandan]
  • A. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • B. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • C. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • D. Baddo
    Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
  • E. Nawada
    Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
  • 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: Kandan
Triple: [Fengtai District, contains, Kandan]
Generated description
Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kandan
Target entity description: Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
  • A. Kandia
    Kandia is a remote valley and settlement area located within Pakistan’s Kohistan mountain ranges, known for its rugged terrain and isolated communities.
  • B. Kandas
    Kandas is an Oceanic language of the Meso-Melanesian subgroup spoken in parts of Papua New Guinea.
  • C. Koutiala
    Koutiala is a major city in southern Mali known as an important center for cotton production and agriculture.
  • D. Baddo
    Baddo is the popular stage name of Nigerian rapper and singer Olamide, known for his influential role in contemporary Afrobeats and street-hop music.
  • E. Nawada
    Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a6b37288190a6965d183ca4b08b completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1dea9a7c4819087fb6853d839fb1e completed March 11, 2026, 9:29 p.m.
NEDg Description generation batch_69b1df92c05481908f4490412b5c4885 completed March 11, 2026, 9:33 p.m.
NED2 Entity disambiguation (via description) batch_69b1dfe4bfe481909ebd745964940294 completed March 11, 2026, 9:34 p.m.
Created at: March 8, 2026, 3 p.m.