Triple

T13549232
Position Surface form Disambiguated ID Type / Status
Subject A Long Way Home E323596 entity
Predicate settingLocation P40 FINISHED
Object Khandwa, India E114390 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: Khandwa, India | Statement: [A Long Way Home, settingLocation, Khandwa, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khandwa, India
Context triple: [A Long Way Home, settingLocation, Khandwa, India]
  • A. Khandwa chosen
    Khandwa is a city in central India known as a regional commercial and cultural center in the state of Madhya Pradesh.
  • B. Kevadia, Gujarat
    Kevadia, Gujarat is a town in western India that has become a major tourist destination as the site of the Statue of Unity and related attractions along the Narmada River.
  • C. Ratlam State
    Ratlam State was a princely state in British India, located in the Malwa region of present-day Madhya Pradesh and ruled by a dynasty of Rathore Rajputs.
  • D. Bhopalgarh
    Bhopalgarh is a town in the Indian state of Rajasthan, known for its rural setting and administrative role within the region.
  • E. Khargone
    Khargone is a city in western Madhya Pradesh, India, known as an agricultural and commercial center in the Nimar region.
  • 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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafdcecf481909999a173b32a58cd completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da4e19c819090d649b60a2dd410 completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.