Triple

T11207653
Position Surface form Disambiguated ID Type / Status
Subject Umkhrah River E265211 entity
Predicate hasNameInLocalLanguage P21937 FINISHED
Object Umkhrah
Umkhrah is a river in the Indian state of Meghalaya that flows through the city of Shillong and is significant to the local Khasi community.
 E915906 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: Umkhrah | Statement: [Umkhrah River, hasNameInLocalLanguage, Umkhrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Umkhrah
Context triple: [Umkhrah River, hasNameInLocalLanguage, Umkhrah]
  • A. Mhlaba
    Mhlaba is a surname most notably associated with Raymond Mhlaba, a prominent South African anti-apartheid activist and politician.
  • B. Umtata
    Umtata is the former name of Mthatha, a town in South Africa’s Eastern Cape that serves as a regional economic and administrative center.
  • C. Matamela
    Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
  • D. Nomvula
    "Nomvula" is a popular album and title track by South African Afro-fusion band Freshlyground that helped bring them widespread recognition.
  • E. Matsapha
    Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
  • 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: Umkhrah
Triple: [Umkhrah River, hasNameInLocalLanguage, Umkhrah]
Generated description
Umkhrah is a river in the Indian state of Meghalaya that flows through the city of Shillong and is significant to the local Khasi community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Umkhrah
Target entity description: Umkhrah is a river in the Indian state of Meghalaya that flows through the city of Shillong and is significant to the local Khasi community.
  • A. Mhlaba
    Mhlaba is a surname most notably associated with Raymond Mhlaba, a prominent South African anti-apartheid activist and politician.
  • B. Umtata
    Umtata is the former name of Mthatha, a town in South Africa’s Eastern Cape that serves as a regional economic and administrative center.
  • C. Matamela
    Matamela is the first given name of South African president Cyril Ramaphosa, reflecting his full birth name Matamela Cyril Ramaphosa.
  • D. Nomvula
    "Nomvula" is a popular album and title track by South African Afro-fusion band Freshlyground that helped bring them widespread recognition.
  • E. Matsapha
    Matsapha is an industrial town in central Eswatini known for its manufacturing hub and proximity to the city of Manzini.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8d5f8908190903817f84c629ba1 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3c681148190a31c7e7ecb0d9478 completed April 19, 2026, 3:24 p.m.
NEDg Description generation batch_69e4f7dbfafc8190afa1e9fe67f1296e completed April 19, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_69e4ff4645948190a2bfcc3a4efd8e2a completed April 19, 2026, 4:13 p.m.
Created at: April 8, 2026, 9:30 p.m.