Triple

T7309283
Position Surface form Disambiguated ID Type / Status
Subject Amri E168050 entity
Predicate comparedWith P278 FINISHED
Object Kot Diji E78478 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: Kot Diji | Statement: [Amri, comparedWith, Kot Diji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kot Diji
Context triple: [Amri, comparedWith, Kot Diji]
  • A. Kot Diji chosen
    Kot Diji is an ancient archaeological and fort site in Sindh, Pakistan, known for its pre-Harappan settlement remains and well-preserved early 19th-century fort.
  • B. Kot Addu
    Kot Addu is a prominent city in Pakistan known for its strategic location in southern Punjab and its role as a regional commercial and agricultural hub.
  • C. Jatoi
    Jatoi is a city in southern Punjab, Pakistan, known primarily as an agricultural and market center for the surrounding rural region.
  • D. Dinapore
    Dinapore was a major British military cantonment and administrative center in colonial India, located near present-day Patna in Bihar.
  • E. Kikinda
    Kikinda is a town and municipality in northern Serbia known as a regional center of the Banat area, with a strong agricultural base and notable cultural and historical 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_69c6888d8e3c81909db79714903baf31 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebdbd6f481908e69e53dab452656 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.