Triple

T9686505
Position Surface form Disambiguated ID Type / Status
Subject Raichur railway station E234420 entity
Predicate connectsTo P845 FINISHED
Object Wadi
Wadi is a major railway junction town in Karnataka, India, known for its strategic location on key rail routes and its nearby limestone and cement industries.
 E817194 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: Wadi | Statement: [Raichur railway station, connectsTo, Wadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wadi
Context triple: [Raichur railway station, connectsTo, Wadi]
  • A. Wadi Fira
    Wadi Fira is an administrative region in eastern Chad known for its arid Sahelian landscape and predominantly rural population.
  • B. Wadi Al-Fara
    Wadi Al-Fara is a town in Saudi Arabia’s Al Madinah Province, known for its location along a seasonal valley (wadi) in the western part of the country.
  • C. Wadi Adhana
    Wadi Adhana is a seasonal river valley in Yemen that serves as the main watercourse impounded by the historic Marib Dam.
  • D. Wadi al-Khaznadar
    Wadi al-Khaznadar is a valley in Syria known as the site of a major 13th-century battle between Mamluk and Mongol forces.
  • E. Wadi an-Nar
    Wadi an-Nar is the Arabic name for the Kidron Valley’s seasonal watercourse that runs between Jerusalem and the Dead Sea.
  • 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: Wadi
Triple: [Raichur railway station, connectsTo, Wadi]
Generated description
Wadi is a major railway junction town in Karnataka, India, known for its strategic location on key rail routes and its nearby limestone and cement industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wadi
Target entity description: Wadi is a major railway junction town in Karnataka, India, known for its strategic location on key rail routes and its nearby limestone and cement industries.
  • A. Wadi Fira
    Wadi Fira is an administrative region in eastern Chad known for its arid Sahelian landscape and predominantly rural population.
  • B. Wadi Al-Fara
    Wadi Al-Fara is a town in Saudi Arabia’s Al Madinah Province, known for its location along a seasonal valley (wadi) in the western part of the country.
  • C. Wadi Adhana
    Wadi Adhana is a seasonal river valley in Yemen that serves as the main watercourse impounded by the historic Marib Dam.
  • D. Wadi al-Khaznadar
    Wadi al-Khaznadar is a valley in Syria known as the site of a major 13th-century battle between Mamluk and Mongol forces.
  • E. Wadi an-Nar
    Wadi an-Nar is the Arabic name for the Kidron Valley’s seasonal watercourse that runs between Jerusalem and the Dead Sea.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd2dab481908e0d3fed28de9d40 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f76aca481909692b29cac3c3dc3 completed April 4, 2026, 11:32 p.m.
NEDg Description generation batch_69d1a349b95c819088ef3636b673ac97 completed April 4, 2026, 11:48 p.m.
NED2 Entity disambiguation (via description) batch_69d1a3ce85108190b9f90b590db7c972 completed April 4, 2026, 11:50 p.m.
Created at: March 30, 2026, 8:17 p.m.