Triple

T16589303
Position Surface form Disambiguated ID Type / Status
Subject Pune Metropolitan Region E403039 entity
Predicate hasPart P35 FINISHED
Object Pune Cantonment E1225754 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: Pune Cantonment | Statement: [Pune Metropolitan Region, hasPart, Pune Cantonment]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pune Cantonment
Context triple: [Pune Metropolitan Region, hasPart, Pune Cantonment]
  • A. Pune Cantonment chosen
    Pune Cantonment is a major military and civilian cantonment area in Pune, Maharashtra, serving as an important base and administrative center for the Indian Army.
  • B. Bangalore Cantonment
    Bangalore Cantonment is a historic military and residential area in Bengaluru that developed under British rule and became a major colonial-era administrative and commercial hub of the city.
  • C. Gwalior Cantonment
    Gwalior Cantonment is a major Indian Army military station located in the city of Gwalior in Madhya Pradesh.
  • D. Belapur
    Belapur is a major suburban node in Navi Mumbai, India, known for its commercial centers, residential areas, and role as a key transport hub.
  • E. Meerut Cantonment
    Meerut Cantonment is a prominent military cantonment area and residential suburb in the city of Meerut, Uttar Pradesh, 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599f3d18819082b3e6eef5506731 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00dbf6507081909f6a49c003f9d6d6 completed May 10, 2026, 7:26 p.m.
Created at: April 10, 2026, 5:16 a.m.