Triple

T18543211
Position Surface form Disambiguated ID Type / Status
Subject Wijhe E453153 entity
Predicate roadConnection P385 FINISHED
Object N337
N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
E1331098 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: N337 | Statement: [Wijhe, roadConnection, N337]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N337
Context triple: [Wijhe, roadConnection, N337]
  • A. N367
    N367 is a regional road in the Netherlands that connects several towns in the province of Groningen, facilitating local and regional traffic.
  • B. N374
    N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
  • C. N334AA
    N334AA was the Boeing 767-223ER aircraft operated by American Airlines that was hijacked and crashed into the North Tower of the World Trade Center during the September 11, 2001 terrorist attacks.
  • D. N379
    N379 is a regional road in the Netherlands that serves as a key route connecting the village of Ter Apel with surrounding areas.
  • E. N363
    N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
  • 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: N337
Triple: [Wijhe, roadConnection, N337]
Generated description
N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N337
Target entity description: N337 is a regional road in the Netherlands that connects the town of Wijhe with other nearby destinations.
  • A. N367
    N367 is a regional road in the Netherlands that connects several towns in the province of Groningen, facilitating local and regional traffic.
  • B. N374
    N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
  • C. N334AA
    N334AA was the Boeing 767-223ER aircraft operated by American Airlines that was hijacked and crashed into the North Tower of the World Trade Center during the September 11, 2001 terrorist attacks.
  • D. N379
    N379 is a regional road in the Netherlands that serves as a key route connecting the village of Ter Apel with surrounding areas.
  • E. N363
    N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
  • 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_69d8d388b0c881908e610a1c45b52640 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e534b935c48190a34b17eeae4fd583 completed April 19, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049ad9d8108190b7251f293563a056 completed May 13, 2026, 3:38 p.m.
NEDg Description generation batch_6a049d1fabfc8190ade010ba5d2a2c1b completed May 13, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_6a049f83689c81908e02646a157c80d4 completed May 13, 2026, 3:57 p.m.
Created at: April 10, 2026, 11:38 a.m.