Triple

T11599991
Position Surface form Disambiguated ID Type / Status
Subject Passu Cathedral E275102 entity
Predicate near P350 FINISHED
Object Passu E271543 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: Passu | Statement: [Passu Cathedral, near, Passu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passu
Context triple: [Passu Cathedral, near, Passu]
  • A. Passu chosen
    Passu is a picturesque village in northern Pakistan’s Gilgit-Baltistan region, renowned for its dramatic mountain scenery, including the Passu Cones, and its location along the Karakoram Highway.
  • B. Passirio
    Passirio is a river in northern Italy that flows through the province of South Tyrol before joining the Adige.
  • C. Seguam Pass
    Seguam Pass is a navigable strait in the central Aleutian Islands of Alaska, separating Seguam Island from nearby islands and connecting parts of the North Pacific Ocean and the Bering Sea.
  • D. Passi
    Passi is a component city in the province of Iloilo on Panay Island in the Western Visayas region of the Philippines, known as an agricultural and commercial hub.
  • E. Passu Sar
    Passu Sar is a prominent, remote peak in Pakistan’s Karakoram range, known for its dramatic glaciated slopes and challenging mountaineering routes.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8954c3c248190bcccd4c7ff667b3a completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e8a7f018a881908f4b206699044ceb completed April 22, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:38 p.m.