Triple

T2194604
Position Surface form Disambiguated ID Type / Status
Subject Shah Alam II E49941 entity
Predicate residedIn P75 FINISHED
Object Allahabad E29812 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: Allahabad | Statement: [Shah Alam II, residedIn, Allahabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allahabad
Context triple: [Shah Alam II, residedIn, Allahabad]
  • A. Allahabad chosen
    Allahabad, officially known as Prayagraj, is a major city in the Indian state of Uttar Pradesh, historically significant as a political and cultural center and as a prominent site of the Kumbh Mela at the confluence of the Ganges, Yamuna, and mythical Saraswati rivers.
  • B. Barabanki
    Barabanki is a town and district headquarters in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the state capital, Lucknow.
  • C. Aligarh
    Aligarh is a prominent city in northern India known for its lock industry and as the home of Aligarh Muslim University.
  • D. Kanpur
    Kanpur is a major industrial city in the northern Indian state of Uttar Pradesh, historically significant as a key site of conflict during the Indian Rebellion of 1857.
  • E. Gorakhpur
    Gorakhpur is a prominent city in northern India known as a regional commercial, transportation, and cultural hub near the border with Nepal.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf74147c81908793c3694894f94a completed March 7, 2026, 6:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf266ed881909206c87c69a2ea95 completed March 10, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:46 p.m.