Triple

T2840855
Position Surface form Disambiguated ID Type / Status
Subject Khyber District E62462 entity
Predicate hasTown P847 FINISHED
Object Jamrud E266758 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: Jamrud | Statement: [Khyber District, hasTown, Jamrud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jamrud
Context triple: [Khyber District, hasTown, Jamrud]
  • A. Jamrud chosen
    Jamrud is a strategically important town in Pakistan’s Khyber District, historically serving as a gateway to the Khyber Pass and a key military and trade outpost.
  • B. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • C. Konjara
    Konjara is an alternative name for the Fur language, a Nilo-Saharan language spoken primarily by the Fur people of western Sudan.
  • D. Khazana
    Khazana is a historic treasury building within the Mughal-era royal complex of Fatehpur Sikri in Uttar Pradesh, India.
  • E. Ratne
    Ratne is a small town in northwestern Ukraine known for its historical roots in the Volyn region near the Belarusian border.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8cf32d08190bda89a513082813f completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 10:01 p.m.