Triple

T17266104
Position Surface form Disambiguated ID Type / Status
Subject Yusuf Hamadani Mausoleum E419131 entity
Predicate locatedIn P40 FINISHED
Object Merv E85087 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: Merv | Statement: [Yusuf Hamadani Mausoleum, locatedIn, Merv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merv
Context triple: [Yusuf Hamadani Mausoleum, locatedIn, Merv]
  • A. Merv chosen
    Merv was an important ancient oasis city in Central Asia that flourished as a key commercial and cultural hub along the Silk Road.
  • B. Wasilla
    Wasilla is a small city in south-central Alaska known as part of the Anchorage metropolitan area and for being the hometown of former governor Sarah Palin.
  • C. Merv oasis
    Merv oasis is a historically significant fertile region in present-day Turkmenistan that supported major Silk Road cities, including the ancient city of Merv.
  • D. Qaha Markaz
    Qaha Markaz is an administrative district in Egypt centered around the town of Qaha in the Qalyubia Governorate.
  • E. Hushe
    Hushe is a remote village in Pakistan’s Karakoram region that serves as a key gateway for trekkers and climbers heading toward major peaks and glaciers.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f44ec7c81909a925fc8692b0a6c completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195488d2c81908ac6c19f54f61796 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:40 a.m.