Triple

T16778414
Position Surface form Disambiguated ID Type / Status
Subject Hunza River gorge E407789 entity
Predicate near P350 FINISHED
Object Aliabad NE NERFINISHED

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: Aliabad | Statement: [Hunza River gorge, near, Aliabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aliabad
Context triple: [Hunza River gorge, near, Aliabad]
  • A. Aliabad chosen
    Aliabad is a small town in northern Pakistan that serves as the main commercial and administrative center of the Hunza Valley in Gilgit-Baltistan.
  • B. Azarshahr
    Azarshahr is a city in northwestern Iran known for its location within East Azerbaijan Province and its role as a local administrative and economic center.
  • C. Nurabad
    Nurabad is a city in western Iran that serves as a local urban center within Lorestan Province.
  • D. Abadeh
    Abadeh is a city in southern Iran known as a regional center in Fars Province, noted for its traditional handicrafts and strategic location on the route between Shiraz and Isfahan.
  • E. Neyshabur
    Neyshabur is a historic city in northeastern Iran renowned for its cultural heritage, turquoise mines, and as the resting place of poet and polymath Omar Khayyam.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b212fc248190a8fe1124853bf16d completed April 18, 2026, 4:32 p.m.
Created at: April 10, 2026, 5:22 a.m.