Triple

T12543146
Position Surface form Disambiguated ID Type / Status
Subject Shirak Province E299892 entity
Predicate containsVillage P4011 FINISHED
Object Kamo
Kamo is a rural village located in Armenia’s Shirak Province.
 E989189 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: Kamo | Statement: [Shirak Province, containsVillage, Kamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamo
Context triple: [Shirak Province, containsVillage, Kamo]
  • A. Kamo
    Kamo was a former town in Japan’s Kyoto Prefecture that was once part of Soraku District before being merged into a larger municipality.
  • B. Kamo
    Kamo is a residential suburb and community located just north of central Whangārei in New Zealand’s Northland Region.
  • C. Tenryū
    Tenryū is a guardian statue associated with the famous Kaminarimon gate at Sensō-ji Temple in Tokyo, representing a protective dragon deity in Japanese Buddhist tradition.
  • D. Hamachō
    Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
  • E. Yamabiko
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • 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: Kamo
Triple: [Shirak Province, containsVillage, Kamo]
Generated description
Kamo is a rural village located in Armenia’s Shirak Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamo
Target entity description: Kamo is a rural village located in Armenia’s Shirak Province.
  • A. Kamo
    Kamo is a residential suburb and community located just north of central Whangārei in New Zealand’s Northland Region.
  • B. Kamo
    Kamo was a former town in Japan’s Kyoto Prefecture that was once part of Soraku District before being merged into a larger municipality.
  • C. Tenryū
    Tenryū is a guardian statue associated with the famous Kaminarimon gate at Sensō-ji Temple in Tokyo, representing a protective dragon deity in Japanese Buddhist tradition.
  • D. Hamachō
    Hamachō is a neighborhood in Chūō ward, central Tokyo, known for its mix of residential areas, local businesses, and proximity to the Nihonbashi district.
  • E. Yamabiko
    Yamabiko is a high-speed Shinkansen train service in Japan that operates on the Tōhoku Shinkansen line, connecting Tokyo with northern regions such as Sendai.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9547d6df4819080db8415d386ed38 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557e6d4c81909ed54a039e92a160 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566f40c08190baec227fb660c948 completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657aa1bf48190a884e0dfce31e30e completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.