Triple

T15606814
Position Surface form Disambiguated ID Type / Status
Subject Cantanhede E375178 entity
Predicate roadConnection P385 FINISHED
Object EN234
EN234 is a Portuguese national road that connects to the municipality of Cantanhede, serving as part of the regional transport network.
E1166367 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: EN234 | Statement: [Cantanhede, roadConnection, EN234]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EN234
Context triple: [Cantanhede, roadConnection, EN234]
  • A. EN250
    EN250 is a major Angolan highway that serves as a key transport route connecting the city of Huambo with other regions.
  • B. N232
    N232 is a regional road in the Netherlands that serves as an important connector route near Amsterdam and Schiphol Airport.
  • C. N222
    N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
  • D. N271
    N271 is a regional road in the Netherlands that runs through the province of Limburg, connecting several towns and villages along the Maas river.
  • E. 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.
  • 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: EN234
Triple: [Cantanhede, roadConnection, EN234]
Generated description
EN234 is a Portuguese national road that connects to the municipality of Cantanhede, serving as part of the regional transport network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EN234
Target entity description: EN234 is a Portuguese national road that connects to the municipality of Cantanhede, serving as part of the regional transport network.
  • A. EN250
    EN250 is a major Angolan highway that serves as a key transport route connecting the city of Huambo with other regions.
  • B. N232
    N232 is a regional road in the Netherlands that serves as an important connector route near Amsterdam and Schiphol Airport.
  • C. N222
    N222 is a regional road in the Netherlands that connects the town of Wateringen with surrounding areas in the Westland region.
  • D. N271
    N271 is a regional road in the Netherlands that runs through the province of Limburg, connecting several towns and villages along the Maas river.
  • E. 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.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7ec08c8190b3842cf3043aea27 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56d3541c8190a5a2aa9730260562 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff578dc9dc8190ae0b1abcd74a6346 completed May 9, 2026, 3:49 p.m.
NED2 Entity disambiguation (via description) batch_69ff586ce89081909ebc1779bb9c4221 completed May 9, 2026, 3:53 p.m.
Created at: April 10, 2026, 4:13 a.m.