Triple

T12847587
Position Surface form Disambiguated ID Type / Status
Subject Ram Pol E307221 entity
Predicate name P16 FINISHED
Object Ram Pol E307221 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: Ram Pol | Statement: [Ram Pol, name, Ram Pol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ram Pol
Context triple: [Ram Pol, name, Ram Pol]
  • A. Ram Pol chosen
    Ram Pol is a prominent main entrance gate of the historic Kumbhalgarh Fort in Rajasthan, India, known for its massive stone architecture and defensive significance.
  • B. Ramji
    Ramji is an Indian cinematographer known for his visually striking work in Tamil cinema, including the acclaimed film Paruthiveeran.
  • C. Raj
    Raj is the given name of Raj Reddy, a pioneering computer scientist known for his foundational work in artificial intelligence and robotics.
  • D. Mola Ram
    Mola Ram is the fanatical Thuggee high priest and main antagonist in the film "Indiana Jones and the Temple of Doom," known for his dark rituals and heart-extraction sacrifices.
  • E. Rana Hammir
    Rana Hammir was a 14th-century Rajput ruler renowned for restoring the independence and power of the Mewar kingdom in present-day Rajasthan, India.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba1ef2481909bcf68a698afd3c6 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.