Triple

T3387163
Position Surface form Disambiguated ID Type / Status
Subject Osman Sagar E71328 entity
Predicate waterSupplierFor P4102 FINISHED
Object Hyderabad E13440 NE FINISHED

How this triple was built (3 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: Hyderabad | Statement: [Osman Sagar, waterSupplierFor, Hyderabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyderabad
Context triple: [Osman Sagar, waterSupplierFor, Hyderabad]
  • A. Hyderabad chosen
    Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
  • B. Hyderabad
    Hyderabad is a major city in the Sindh province of Pakistan, known for its historical significance, vibrant culture, and role as an important commercial and industrial center.
  • C. Secunderabad
    Secunderabad is a major twin city of Hyderabad in the Indian state of Telangana, known as an important commercial and transportation hub with a significant military presence.
  • D. Vijayawada
    Vijayawada is a major commercial and cultural city in the Indian state of Andhra Pradesh, known as a key transportation hub and an important center for trade, education, and politics in the region.
  • E. Bengaluru
    Bengaluru is a major Indian metropolis known as the country’s leading technology and innovation hub, often called the “Silicon Valley of India.”
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: waterSupplierFor
Context triple: [Osman Sagar, waterSupplierFor, Hyderabad]
  • A. sourceOfWaterSupply
    Indicates that one entity serves as the origin or provider of another entity’s water supply.
  • B. waterServiceType
    Indicates the specific kind or category of water service provided or associated with an entity.
  • C. waterSourceDedicatedTo
    Indicates that a particular water source is specifically allocated or reserved for a designated use, group, or purpose.
  • D. waterSource chosen
    Indicates that one entity serves as the source or provider of water for another entity.
  • E. waterDistributionMethod
    Indicates how water is delivered, supplied, or allocated from a source to its intended recipients or locations.
  • F. None of above.

Provenance (4 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb66448fc8190a8582145f02bb1d9 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f580e2488190bce70398502e11d4 completed March 14, 2026, 11:55 p.m.
PD Predicate disambiguation batch_69ada43615f08190ac2275020d157983 completed March 8, 2026, 4:30 p.m.
Created at: March 8, 2026, 3:14 p.m.