Triple

T13298281
Position Surface form Disambiguated ID Type / Status
Subject Almora E316741 entity
Predicate foundingRuler P13204 FINISHED
Object Kalyan Chand E1038582 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: Kalyan Chand | Statement: [Almora, foundingRuler, Kalyan Chand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalyan Chand
Context triple: [Almora, foundingRuler, Kalyan Chand]
  • A. Kalyan Chand chosen
    Kalyan Chand was a prominent ruler of the Chand dynasty, known for consolidating its power and influence in the Kumaon region of present-day Uttarakhand, India.
  • B. Ashok Chandra
    Ashok Chandra is a computer scientist known for his contributions to theoretical computer science and complexity theory.
  • C. Madan Lal Khurana
    Madan Lal Khurana was an Indian politician from the Bharatiya Janata Party who played a key role in Delhi’s political landscape and also served in various national-level positions.
  • D. Bhajan Lal
    Bhajan Lal was a prominent Indian politician and influential leader of Haryana known for his long tenure in state politics and multiple terms as chief minister.
  • E. Ashok Kumar
    Ashok Kumar was a pioneering and acclaimed Indian film actor, often regarded as one of the first superstars of Hindi cinema.
  • 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_69d806b40ab4819094adf6c374f4811a completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d990a2f2708190a8f2aa7e7c0b92d2 completed April 11, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69f74610b2c481909497296e999226e8 completed May 3, 2026, 12:56 p.m.
Created at: April 9, 2026, 9:28 p.m.