Triple

T7309181
Position Surface form Disambiguated ID Type / Status
Subject Harappa E168047 entity
Predicate modernSettlementNearby P3883 FINISHED
Object Harappa town E168047 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: Harappa town | Statement: [Harappa, modernSettlementNearby, Harappa town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harappa town
Context triple: [Harappa, modernSettlementNearby, Harappa town]
  • A. Harappa chosen
    Harappa is an ancient urban settlement in present-day Pakistan that was a major center of the Bronze Age Indus Valley Civilization, known for its advanced city planning and material culture.
  • B. Mohenjo-daro
    Mohenjo-daro is an ancient Indus Valley Civilization city in present-day Pakistan, renowned for its advanced urban planning, architecture, and archaeological significance.
  • C. Rakhigarhi
    Rakhigarhi is one of the largest and most significant archaeological sites of the Indus Valley Civilization, located in present-day Haryana, India.
  • D. Medininagar
    Medininagar is a prominent town and administrative center in the Palamu district of the Indian state of Jharkhand.
  • E. Taxila
    Taxila was an ancient city in present-day Pakistan that served as a major center of learning, trade, and administration in South Asia.
  • 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebda7b748190a230a22ecea79342 completed March 27, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e567df3c8190a1baaa7ef9c99d87 completed March 28, 2026, 2:27 p.m.
Created at: March 27, 2026, 3:01 p.m.