Triple

T10769694
Position Surface form Disambiguated ID Type / Status
Subject Line 5 (Barcelona Metro) E254041 entity
Predicate connectsStation P845 FINISHED
Object Badal E253365 NE FINISHED

How this triple was built (2 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: Badal | Statement: [Line 5 (Barcelona Metro), connectsStation, Badal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badal
Context triple: [Line 5 (Barcelona Metro), connectsStation, Badal]
  • A. Badal chosen
    Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
  • B. Kaalpurush
    Kaalpurush is an acclaimed Bengali film by director Buddhadeb Dasgupta that explores memory, time, and human relationships through a poetic, surreal narrative.
  • C. Billa
    Billa is a 1980 Indian Tamil-language action film starring Rajinikanth, known for its stylish portrayal of an underworld don and its status as a landmark gangster movie in Tamil cinema.
  • D. Billa
    Billa is a 2009 Telugu-language action thriller film starring Prabhas, known for its stylish remake of the 1980s Chiranjeevi classic of the same name.
  • E. Sanju
    Sanju is a 2018 Hindi biographical drama film that chronicles the tumultuous life of Bollywood actor Sanjay Dutt, directed by Rajkumar Hirani and starring Ranbir Kapoor in the title role.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
Created at: April 8, 2026, 9:16 p.m.