Triple

T11058960
Position Surface form Disambiguated ID Type / Status
Subject Huambo E261453 entity
Predicate roadConnection P385 FINISHED
Object EN250
EN250 is a major Angolan highway that serves as a key transport route connecting the city of Huambo with other regions.
 E902785 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: EN250 | Statement: [Huambo, roadConnection, EN250]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EN250
Context triple: [Huambo, roadConnection, EN250]
  • A. EN120
    EN120 is a Portuguese national road that serves as a key inland route along the southwest of Portugal, connecting various towns and coastal areas in the Alentejo and Algarve regions.
  • B. E50
    E50 is a major trans-European road corridor that spans multiple countries, facilitating long-distance east–west travel and trade across the continent.
  • C. E22
    E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
  • D. N257
    N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
  • E. ENH
    ENH is the IATA airport code for Enshi Xujiaping Airport, a regional airport serving Enshi in Hubei Province, China.
  • 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: EN250
Triple: [Huambo, roadConnection, EN250]
Generated description
EN250 is a major Angolan highway that serves as a key transport route connecting the city of Huambo with other regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EN250
Target entity description: EN250 is a major Angolan highway that serves as a key transport route connecting the city of Huambo with other regions.
  • A. EN120
    EN120 is a Portuguese national road that serves as a key inland route along the southwest of Portugal, connecting various towns and coastal areas in the Alentejo and Algarve regions.
  • B. E50
    E50 is a major trans-European road corridor that spans multiple countries, facilitating long-distance east–west travel and trade across the continent.
  • C. E22
    E22 is a major European route that forms part of the international E-road network, linking multiple countries across Europe.
  • D. N257
    N257 is a regional road in the Netherlands that connects to the Philipsdam and serves as part of the infrastructure linking the Zeeland and South Holland provinces.
  • E. ENH
    ENH is the IATA airport code for Enshi Xujiaping Airport, a regional airport serving Enshi in Hubei Province, China.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d798a4f3f88190a29710f64cef9d25 completed April 9, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c87ab0308190a6a6ada1708f0ec2 completed April 18, 2026, 6:07 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 9:26 p.m.