Triple

T11589163
Position Surface form Disambiguated ID Type / Status
Subject Kurla E274832 entity
Predicate hasLandmark P105 FINISHED
Object Kurla bus depot
Kurla bus depot is a major public bus terminal in the Kurla area of Mumbai, serving as an important hub for local and regional bus services.
 E937981 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: Kurla bus depot | Statement: [Kurla, hasLandmark, Kurla bus depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kurla bus depot
Context triple: [Kurla, hasLandmark, Kurla bus depot]
  • A. Kurla metro station
    Kurla metro station is an elevated rapid transit stop on Mumbai Metro’s Line 2B serving the busy Kurla neighborhood in Mumbai, India.
  • B. Kurla railway station
    Kurla railway station is a major railway junction in Mumbai, India, serving both suburban and long-distance trains on the Central and Harbour lines.
  • C. Kurla
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • D. Peenya depot
    Peenya depot is a major maintenance and stabling facility serving Bengaluru’s Namma Metro system.
  • E. Wadala Depot–Chembur
    Wadala Depot–Chembur is the eastern stretch of Mumbai’s Monorail Line 1, linking the Wadala Depot area with the suburban neighborhood of Chembur.
  • 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: Kurla bus depot
Triple: [Kurla, hasLandmark, Kurla bus depot]
Generated description
Kurla bus depot is a major public bus terminal in the Kurla area of Mumbai, serving as an important hub for local and regional bus services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kurla bus depot
Target entity description: Kurla bus depot is a major public bus terminal in the Kurla area of Mumbai, serving as an important hub for local and regional bus services.
  • A. Kurla metro station
    Kurla metro station is an elevated rapid transit stop on Mumbai Metro’s Line 2B serving the busy Kurla neighborhood in Mumbai, India.
  • B. Kurla railway station
    Kurla railway station is a major railway junction in Mumbai, India, serving both suburban and long-distance trains on the Central and Harbour lines.
  • C. Kurla
    Kurla is a densely populated suburban neighborhood in Mumbai, India, known as a major residential, commercial, and transport hub of the city.
  • D. Peenya depot
    Peenya depot is a major maintenance and stabling facility serving Bengaluru’s Namma Metro system.
  • E. Wadala Depot–Chembur
    Wadala Depot–Chembur is the eastern stretch of Mumbai’s Monorail Line 1, linking the Wadala Depot area with the suburban neighborhood of Chembur.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d89463360c8190b91228c46bfe2e5f completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee86df14048190ae8f6d8b11610079 completed April 26, 2026, 9:42 p.m.
NEDg Description generation batch_69eeb310e04c8190a1004662d5bbc015 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eee95dfff48190a3c3022cdfc6dafc completed April 27, 2026, 4:43 a.m.
Created at: April 8, 2026, 9:38 p.m.