Triple

T11117169
Position Surface form Disambiguated ID Type / Status
Subject Usquert E262915 entity
Predicate roadConnection P385 FINISHED
Object N363
N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
E905992 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: N363 | Statement: [Usquert, roadConnection, N363]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N363
Context triple: [Usquert, roadConnection, N363]
  • A. N366
    N366 is a regional road in the Netherlands that serves as a key connection route for traffic to and from the municipality of Pekela in the province of Groningen.
  • B. N367
    N367 is a regional road in the Netherlands that connects several towns in the province of Groningen, facilitating local and regional traffic.
  • C. N374
    N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
  • D. N-230
    N-230 is a major Spanish national road that connects the Val d’Aran in the Pyrenees with other regions, serving as an important transport route in northeastern Spain.
  • E. 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.
  • 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: N363
Triple: [Usquert, roadConnection, N363]
Generated description
N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: N363
Target entity description: N363 is a regional road in the Netherlands that connects the village of Usquert with other nearby towns in the province of Groningen.
  • A. N366
    N366 is a regional road in the Netherlands that serves as a key connection route for traffic to and from the municipality of Pekela in the province of Groningen.
  • B. N367
    N367 is a regional road in the Netherlands that connects several towns in the province of Groningen, facilitating local and regional traffic.
  • C. N374
    N374 is a regional road in the Netherlands that connects the town of Stadskanaal with other nearby localities in the province of Groningen.
  • D. N-230
    N-230 is a major Spanish national road that connects the Val d’Aran in the Pyrenees with other regions, serving as an important transport route in northeastern Spain.
  • E. 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.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af638b08190b7ade5eb0cab6b75 completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d8084a88190918f1f94ca0119ed completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.