Triple

T2749856
Position Surface form Disambiguated ID Type / Status
Subject Bihar E60958 entity
Predicate containsCity P294 FINISHED
Object Sitamarhi E264383 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: Sitamarhi | Statement: [Bihar, containsCity, Sitamarhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sitamarhi
Context triple: [Bihar, containsCity, Sitamarhi]
  • A. Sitamarhi chosen
    Sitamarhi is a town in the Indian state of Bihar, historically associated with the legend of Sita’s birthplace and serving as an important local commercial and cultural center.
  • B. Muzaffarpur
    Muzaffarpur is a major city in northern India known for its litchi production and role as an important commercial and educational center in the region.
  • C. Midnapore
    Midnapore is a historic town in the Indian state of West Bengal, known for its role in the Indian independence movement and its rich cultural and educational heritage.
  • D. Begusarai
    Begusarai is an industrial and agricultural city in the Indian state of Bihar, known for its oil refinery and role as a regional commercial hub.
  • E. Jhanjharpur
    Jhanjharpur is a town in the Madhubani district of Bihar, India, known for its role as a local commercial and transportation hub in the Mithila 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_69ab4b79846081909096725374d65ce9 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdb52b1d48190b6ab511cc8834a14 completed March 7, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d4e98b8819085e170526656eaec completed March 10, 2026, 1:31 p.m.
Created at: March 6, 2026, 9:56 p.m.