Triple

T22314980
Position Surface form Disambiguated ID Type / Status
Subject Parthia E551617 entity
Predicate associatedWithCity P1481 FINISHED
Object Merv 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: Merv | Statement: [Parthia, associatedWithCity, Merv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merv
Context triple: [Parthia, associatedWithCity, 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. Hami
    Hami is a city in eastern Xinjiang, China, historically known as an important Silk Road oasis and for producing the famous Hami melon.
  • 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_69e11e4776588190abb21e5cea79973f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1575287688190aa642bb49b24f5a1 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:42 p.m.