Triple

T10792893
Position Surface form Disambiguated ID Type / Status
Subject Kulim E254626 entity
Predicate roadNetwork P385 FINISHED
Object Federal Route 67
Federal Route 67 is a Malaysian federal road that serves as a key connector to the town of Kulim in Kedah.
 E885423 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: Federal Route 67 | Statement: [Kulim, roadNetwork, Federal Route 67]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Federal Route 67
Context triple: [Kulim, roadNetwork, Federal Route 67]
  • A. Federal Route 51
    Federal Route 51 is a Malaysian federal road that serves as a key connector between the town of Kuala Pilah and other parts of the region.
  • B. Federal Route 7
    Federal Route 7 is a major federal road in Malaysia that serves as an important link between towns in Perlis, including the royal capital Arau, and other parts of the northern region.
  • C. Federal Route 9
    Federal Route 9 is a Malaysian federal road that serves as a key inland link connecting Kuala Pilah to other towns in Peninsular Malaysia.
  • D. Federal Route 15
    Federal Route 15 is a Malaysian federal road that serves as a key connector to the town of Arau in Perlis.
  • E. Federal Route 1
    Federal Route 1 is Malaysia’s oldest and most important north–south trunk road, running the length of Peninsular Malaysia and connecting numerous major towns and cities.
  • 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: Federal Route 67
Triple: [Kulim, roadNetwork, Federal Route 67]
Generated description
Federal Route 67 is a Malaysian federal road that serves as a key connector to the town of Kulim in Kedah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Federal Route 67
Target entity description: Federal Route 67 is a Malaysian federal road that serves as a key connector to the town of Kulim in Kedah.
  • A. Federal Route 51
    Federal Route 51 is a Malaysian federal road that serves as a key connector between the town of Kuala Pilah and other parts of the region.
  • B. Federal Route 7
    Federal Route 7 is a major federal road in Malaysia that serves as an important link between towns in Perlis, including the royal capital Arau, and other parts of the northern region.
  • C. Federal Route 9
    Federal Route 9 is a Malaysian federal road that serves as a key inland link connecting Kuala Pilah to other towns in Peninsular Malaysia.
  • D. Federal Route 15
    Federal Route 15 is a Malaysian federal road that serves as a key connector to the town of Arau in Perlis.
  • E. Federal Route 1
    Federal Route 1 is Malaysia’s oldest and most important north–south trunk road, running the length of Peninsular Malaysia and connecting numerous major towns and cities.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f7ad408190af4727dd9d459498 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.