Triple

T2807928
Position Surface form Disambiguated ID Type / Status
Subject Salang Pass E54097 entity
Predicate nearbyCity P350 FINISHED
Object Charikar
Charikar is a city in northern Afghanistan that serves as the capital of Parwan Province and a key hub on the route between Kabul and the northern regions.
 E299017 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: Charikar | Statement: [Salang Pass, nearbyCity, Charikar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charikar
Context triple: [Salang Pass, nearbyCity, Charikar]
  • A. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • B. Karp
    Karp is a surname most notably associated with David Karp, the founder of the microblogging platform Tumblr.
  • C. Eppstein
    Eppstein is a small historic town in the German state of Hesse, known for its medieval castle and scenic location in the Taunus mountains.
  • D. Resnik
    Resnik is a surname most notably associated with Judith Resnik, the American astronaut who died in the Space Shuttle Challenger disaster.
  • E. Elias
    Elias is a central child protagonist in the Danish drama film "In a Better World," whose experiences explore themes of bullying, revenge, and moral responsibility.
  • 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: Charikar
Triple: [Salang Pass, nearbyCity, Charikar]
Generated description
Charikar is a city in northern Afghanistan that serves as the capital of Parwan Province and a key hub on the route between Kabul and the northern regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charikar
Target entity description: Charikar is a city in northern Afghanistan that serves as the capital of Parwan Province and a key hub on the route between Kabul and the northern regions.
  • A. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • B. Karp
    Karp is a surname most notably associated with David Karp, the founder of the microblogging platform Tumblr.
  • C. Eppstein
    Eppstein is a small historic town in the German state of Hesse, known for its medieval castle and scenic location in the Taunus mountains.
  • D. Resnik
    Resnik is a surname most notably associated with Judith Resnik, the American astronaut who died in the Space Shuttle Challenger disaster.
  • E. Elias
    Elias is a masculine given name of Hebrew origin meaning "Yahweh is God," commonly used in various European and English-speaking countries.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde2fdcf88190a52e515c166ea8f7 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc678d6488190be73244b7e78f30c completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc79deb2081908b0bfa5f14395503 completed March 10, 2026, 7:26 a.m.
NED2 Entity disambiguation (via description) batch_69afc82ac1148190a254415e336ba1e3 completed March 10, 2026, 7:28 a.m.
Created at: March 6, 2026, 9:59 p.m.