Triple

T11740700
Position Surface form Disambiguated ID Type / Status
Subject Lake Palace E279144 entity
Predicate ownedBy P347 FINISHED
Object Taj Hotels E281925 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: Taj Hotels | Statement: [Lake Palace, ownedBy, Taj Hotels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taj Hotels
Context triple: [Lake Palace, ownedBy, Taj Hotels]
  • A. Taj Hotels chosen
    Taj Hotels is a luxury hospitality brand based in India, known for operating iconic heritage palaces, upscale hotels, and resorts worldwide.
  • B. Oberoi Hotels & Resorts
    Oberoi Hotels & Resorts is a luxury hospitality company headquartered in India, renowned for its high-end hotels, resorts, and exceptional personalized service worldwide.
  • C. Taj Mahal Palace Hotel
    The Taj Mahal Palace Hotel is a historic luxury waterfront hotel in Mumbai, India, renowned for its grand Indo-Saracenic architecture and status as one of the city’s most iconic landmarks.
  • D. Oberoi Grand Hotel
    The Oberoi Grand Hotel is a historic luxury hotel in Kolkata, India, renowned for its colonial-era architecture, opulent interiors, and status as one of the city’s most iconic hospitality landmarks.
  • E. Adarsha Hindu Hotel
    Adarsha Hindu Hotel is a classic Bengali novel by Bibhutibhushan Bandyopadhyay that portrays the struggles and aspirations of a humble cook working in a small-town hotel.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f025f88190a39280806c9d7c33 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019d331888190866bdd04f6c73e08 completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.