Triple

T12217375
Position Surface form Disambiguated ID Type / Status
Subject Naghlu Dam E291118 entity
Predicate locatedNear P294 FINISHED
Object Surobi
Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
 E987054 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: Surobi | Statement: [Naghlu Dam, locatedNear, Surobi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Surobi
Context triple: [Naghlu Dam, locatedNear, Surobi]
  • A. Sorabi
    Sorabi is a traditional Indonesian pancake made from rice flour and coconut milk, commonly enjoyed as a snack or street food.
  • B. Shobijin
    Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
  • C. Saiun
    Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
  • D. Sosoxui
    Sosoxui is the endonym (native name) used by the Susu people for their own language and identity.
  • E. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • 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: Surobi
Triple: [Naghlu Dam, locatedNear, Surobi]
Generated description
Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Surobi
Target entity description: Surobi is a town and district in eastern Afghanistan, strategically located along the Kabul River and a key site for nearby hydroelectric infrastructure.
  • A. Sorabi
    Sorabi is a traditional Indonesian pancake made from rice flour and coconut milk, commonly enjoyed as a snack or street food.
  • B. Shobijin
    Shobijin are the tiny twin priestesses who serve as Mothra’s mystical spokespeople and guardians in the Godzilla and broader kaiju film universe.
  • C. Saiun
    Saiun is the Allied reporting name for the Nakajima C6N, a fast and long-range Japanese carrier-based reconnaissance aircraft used during World War II.
  • D. Sosoxui
    Sosoxui is the endonym (native name) used by the Susu people for their own language and identity.
  • E. Koromo
    Koromo was the former name of what is now Toyota City in Aichi Prefecture, Japan, historically known as a regional center before becoming synonymous with the Toyota automobile company.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c9419d48190b0037fe8edc681c4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b873c308190a2c1d02723cfa2e9 completed May 2, 2026, 7:07 p.m.
NEDg Description generation batch_69f64ce0ca288190bbbcb5459f914c19 completed May 2, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69f64df6488481909dea8387e7000d15 completed May 2, 2026, 7:18 p.m.
Created at: April 8, 2026, 9:51 p.m.