Triple

T14967393
Position Surface form Disambiguated ID Type / Status
Subject Meeri E373225 entity
Predicate partOf P40 FINISHED
Object Ranikot Fort E76590 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: Ranikot Fort | Statement: [Meeri, partOf, Ranikot Fort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranikot Fort
Context triple: [Meeri, partOf, Ranikot Fort]
  • A. Ranikot Fort chosen
    Ranikot Fort is a massive historical fortification in Pakistan often called the "Great Wall of Sindh" and considered one of the largest forts in the world.
  • B. Attock Fort
    Attock Fort is a historic Mughal-era military fortification in Attock, Pakistan, strategically located near the Indus River to guard key routes between Central and South Asia.
  • C. Multan Fort
    Multan Fort is a historic citadel in Multan, Pakistan, renowned for its ancient defensive architecture and strategic position overlooking the city.
  • D. Lahore Fort
    Lahore Fort is a massive Mughal-era citadel in the walled city of Lahore, Pakistan, renowned for its grand palaces, ornate halls, and UNESCO World Heritage status.
  • E. Gobindgarh Fort
    Gobindgarh Fort is a historic military fort in Amritsar, Punjab, known for its 18th-century Sikh-era architecture and role in the region’s defense and heritage.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fee5e0ed148190bd357be922fe8319 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 2:48 a.m.