Triple

T5170600
Position Surface form Disambiguated ID Type / Status
Subject I-435 E116666 entity
Predicate connectsTo P845 FINISHED
Object K-10
K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
 E499810 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: K-10 | Statement: [I-435, connectsTo, K-10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K-10
Context triple: [I-435, connectsTo, K-10]
  • A. K1
    K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
  • B. KJ-500
    The KJ-500 is a modern Chinese airborne early warning and control (AEW&C) aircraft featuring a fixed dorsal radar dome and advanced phased-array radar systems for long-range airspace surveillance and battle management.
  • C. K4
    K4 is an alternative name for Gasherbrum II, one of the world’s fourteen 8,000-meter peaks located in the Karakoram range on the China–Pakistan border.
  • D. K5
    K5 is an alternative name for Gasherbrum I, one of the world’s highest and most challenging eight-thousander peaks in the Karakoram range.
  • E. O-10
    O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
  • 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: K-10
Triple: [I-435, connectsTo, K-10]
Generated description
K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K-10
Target entity description: K-10 is a state highway in Kansas that serves as a major east–west commuter and connector route in the Kansas City metropolitan area.
  • A. K1
    K1, also known as Masherbrum, is a prominent 7,821-meter peak in the Karakoram range of Pakistan and one of the world’s highest mountains.
  • B. KJ-500
    The KJ-500 is a modern Chinese airborne early warning and control (AEW&C) aircraft featuring a fixed dorsal radar dome and advanced phased-array radar systems for long-range airspace surveillance and battle management.
  • C. K4
    K4 is an alternative name for Gasherbrum II, one of the world’s fourteen 8,000-meter peaks located in the Karakoram range on the China–Pakistan border.
  • D. K5
    K5 is an alternative name for Gasherbrum I, one of the world’s highest and most challenging eight-thousander peaks in the Karakoram range.
  • E. O-10
    O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
  • 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_69bd445ff97c81909a2615cc56235470 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd794f44248190a3a90c92208104a7 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed9439ec881909021973aa5395e4f completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69beda6e82888190b54b814a16582e48 completed March 21, 2026, 5:50 p.m.
NED2 Entity disambiguation (via description) batch_69bedaf860b0819086805fc9630a74d0 completed March 21, 2026, 5:52 p.m.
Created at: March 20, 2026, 1:45 p.m.