Triple

T3644446
Position Surface form Disambiguated ID Type / Status
Subject China National Highway 106 E77263 entity
Predicate passesThroughCity P416 FINISHED
Object Hebi
Hebi is a prefecture-level city in northern Henan Province, China, known for its coal resources and developing industrial base.
E376751 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: Hebi | Statement: [China National Highway 106, passesThroughCity, Hebi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hebi
Context triple: [China National Highway 106, passesThroughCity, Hebi]
  • A. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • B. Huajicori
    Huajicori is a small municipality and town located in the northern part of the Mexican state of Nayarit.
  • C. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • D. Borobi
    Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
  • E. Basilisk
    The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
  • 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: Hebi
Triple: [China National Highway 106, passesThroughCity, Hebi]
Generated description
Hebi is a prefecture-level city in northern Henan Province, China, known for its coal resources and developing industrial base.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hebi
Target entity description: Hebi is a prefecture-level city in northern Henan Province, China, known for its coal resources and developing industrial base.
  • A. Baka
    Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
  • B. Huajicori
    Huajicori is a small municipality and town located in the northern part of the Mexican state of Nayarit.
  • C. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • D. Borobi
    Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
  • E. Basilisk
    The Basilisk is a gigantic, deadly serpent from the Harry Potter series whose gaze can kill and whose venom is among the most lethal magical substances.
  • 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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35c28908190b253f4835918a2b4 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f3207688190b8d93e2e833b15a0 completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b453cdaae0819099c31056b7830d26 completed March 13, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b482dfdfc08190a20e58707368b573 completed March 13, 2026, 9:34 p.m.
Created at: March 8, 2026, 3:24 p.m.