Triple

T9497971
Position Surface form Disambiguated ID Type / Status
Subject Malwa Plateau E229058 entity
Predicate containsCity P294 FINISHED
Object Neemuch E124371 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: Neemuch | Statement: [Malwa Plateau, containsCity, Neemuch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neemuch
Context triple: [Malwa Plateau, containsCity, Neemuch]
  • A. Neemuch chosen
    Neemuch is a town in northwestern Madhya Pradesh, India, known as an important agricultural and trading center and for hosting a significant military cantonment.
  • B. Samastipur
    Samastipur is a city in the Indian state of Bihar known as an important railway junction and agricultural trade center in the region.
  • C. Jabalpur
    Jabalpur is a major city in the central Indian state of Madhya Pradesh, known for its industrial base, educational institutions, and nearby marble rock formations along the Narmada River.
  • D. Hajipur
    Hajipur is a prominent city in the Indian state of Bihar, known as an important railway and commercial hub located near the state capital, Patna.
  • E. Jaunsar-Bawar
    Jaunsar-Bawar is a hilly, culturally distinct region in Uttarakhand, India, known for its Jaunsari-speaking communities, traditional architecture, and unique customs.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ef06b88190b7a840caddea3e38 completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16126726c81908e6194a5db342c57 completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 7:56 p.m.