Triple

T13916560
Position Surface form Disambiguated ID Type / Status
Subject Battle of Ambur E334636 entity
Predicate commander P1061 FINISHED
Object Chanda Sahib E68823 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: Chanda Sahib | Statement: [Battle of Ambur, commander, Chanda Sahib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chanda Sahib
Context triple: [Battle of Ambur, commander, Chanda Sahib]
  • A. Chanda Sahib chosen
    Chanda Sahib was an 18th-century Indian ruler and military leader who played a central role in the Carnatic Wars, notably opposing the British during conflicts such as the Siege of Arcot.
  • B. Raza Sahib
    Raza Sahib was an 18th-century military leader in southern India who commanded forces during the Siege of Arcot in the Carnatic Wars.
  • C. Jam Sahib
    Jam Sahib is the hereditary royal title borne by the rulers of the former princely state of Nawanagar in present-day Gujarat, India.
  • D. Takht Singh
    Takht Singh was a 19th-century Maharaja of Jodhpur known for consolidating Marwar under British paramountcy and maintaining the prominence of the Rathore dynasty.
  • E. Sahiban
    Sahiban is a tragic heroine from the Punjabi romantic epic "Mirza Sahiban," renowned in South Asian folklore for her ill-fated love story with Mirza.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de27260ae08190be45b4b15898e365 completed April 14, 2026, 11:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce7a1c388190a57dfdbbb732bbcb completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.