Triple

T1916136
Position Surface form Disambiguated ID Type / Status
Subject Nagaland E40020 entity
Predicate hasCity P316 FINISHED
Object Phek
Phek is a town and administrative headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and predominantly tribal population.
 E222219 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: Phek | Statement: [Nagaland, hasCity, Phek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phek
Context triple: [Nagaland, hasCity, Phek]
  • A. Mokokchung
    Mokokchung is a prominent town in northeastern India known as a cultural and intellectual hub of the Ao Naga community in Nagaland.
  • B. Tuensang
    Tuensang is a town in northeastern India that serves as an important administrative and cultural center in the state of Nagaland.
  • C. Mawlynnong
    Mawlynnong is a village in the Indian state of Meghalaya renowned for its exceptional cleanliness, eco-friendly practices, and living root bridges.
  • D. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • E. Kontum
    Kontum is a city and province in Vietnam’s Central Highlands that became a major battleground during the Vietnam War, notably in the 1972 Easter Offensive.
  • 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: Phek
Triple: [Nagaland, hasCity, Phek]
Generated description
Phek is a town and administrative headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and predominantly tribal population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phek
Target entity description: Phek is a town and administrative headquarters in the northeastern Indian state of Nagaland, known for its hilly terrain and predominantly tribal population.
  • A. Mokokchung
    Mokokchung is a prominent town in northeastern India known as a cultural and intellectual hub of the Ao Naga community in Nagaland.
  • B. Tuensang
    Tuensang is a town in northeastern India that serves as an important administrative and cultural center in the state of Nagaland.
  • C. Mawlynnong
    Mawlynnong is a village in the Indian state of Meghalaya renowned for its exceptional cleanliness, eco-friendly practices, and living root bridges.
  • D. Yen Phu
    Yen Phu is a historic residential neighborhood in Hanoi, Vietnam, known for its traditional village atmosphere and scenic location along West Lake.
  • E. Kontum
    Kontum is a city and province in Vietnam’s Central Highlands that became a major battleground during the Vietnam War, notably in the 1972 Easter Offensive.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e517e8819086e4bf5a305aeb25 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0310c2e08190aab7443cdfcd072a completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae03f212848190ac1b1b1650d32d84 completed March 8, 2026, 11:19 p.m.
NED2 Entity disambiguation (via description) batch_69ae044314188190a7472cf5f8e89f6c completed March 8, 2026, 11:20 p.m.
Created at: March 4, 2026, 7:35 p.m.