Triple

T15442408
Position Surface form Disambiguated ID Type / Status
Subject Kaza E369937 entity
Predicate connectedBy P37 FINISHED
Object NH505
NH505 is a national highway in India that provides road access to the remote Himalayan town of Kaza in Himachal Pradesh.
 E1157852 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: NH505 | Statement: [Kaza, connectedBy, NH505]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NH505
Context triple: [Kaza, connectedBy, NH505]
  • A. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • B. N-50
    N-50 is a national highway in Pakistan that serves as a key route connecting parts of Khyber Pakhtunkhwa and Balochistan, facilitating regional trade and travel.
  • C. N5T
    N5T is the common abbreviation for Nordic Five Tech, an alliance of leading technical universities in the Nordic region.
  • D. N-5
    N-5 is a major national highway in Pakistan that forms a key part of the country’s primary north–south road network.
  • E. HNH
    HNH is the National Rail station code for Herne Hill railway station in south London, England.
  • 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: NH505
Triple: [Kaza, connectedBy, NH505]
Generated description
NH505 is a national highway in India that provides road access to the remote Himalayan town of Kaza in Himachal Pradesh.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NH505
Target entity description: NH505 is a national highway in India that provides road access to the remote Himalayan town of Kaza in Himachal Pradesh.
  • A. N-55
    N-55 is a major national highway in Pakistan that runs along the Indus River, connecting key cities in the country’s north–south transport corridor.
  • B. N-50
    N-50 is a national highway in Pakistan that serves as a key route connecting parts of Khyber Pakhtunkhwa and Balochistan, facilitating regional trade and travel.
  • C. N5T
    N5T is the common abbreviation for Nordic Five Tech, an alliance of leading technical universities in the Nordic region.
  • D. N-5
    N-5 is a major national highway in Pakistan that forms a key part of the country’s primary north–south road network.
  • E. HNH
    HNH is the National Rail station code for Herne Hill railway station in south London, England.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef55f5c8190a32b1b6ad1daf454 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21ab80288190a1a4df8b714bba66 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff2404d948819097b4e4e32489bb0d completed May 9, 2026, 12:09 p.m.
NED2 Entity disambiguation (via description) batch_69ff253d8428819092dab16b040c6e88 completed May 9, 2026, 12:14 p.m.
Created at: April 10, 2026, 3:21 a.m.