Triple

T5537237
Position Surface form Disambiguated ID Type / Status
Subject Lankaran Uyezd E145192 entity
Predicate namedAfter P63 FINISHED
Object Lankaran E535895 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: Lankaran | Statement: [Lankaran Uyezd, namedAfter, Lankaran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lankaran
Context triple: [Lankaran Uyezd, namedAfter, Lankaran]
  • A. Lankaran chosen
    Lankaran is a city in southeastern Azerbaijan near the Caspian Sea, known for its subtropical climate, tea and citrus cultivation, and historical role as a regional administrative center.
  • B. Lankaran Uyezd
    Lankaran Uyezd was an administrative district of the Russian Empire located in the southern part of present-day Azerbaijan along the Caspian Sea.
  • C. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • D. Zhob
    Zhob is a town and district in northwestern Balochistan, Pakistan, known historically as a strategic frontier outpost and regional trade center near the Afghan border.
  • E. Tuzla Island
    Tuzla Island is a small island in the Kerch Strait between the Black Sea and the Sea of Azov, known for its strategic location and role in territorial disputes between Russia and Ukraine.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb19cb8819088b21e8ebef63d8b completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c059df62ac8190865dda631da4cec0 completed March 22, 2026, 9:06 p.m.
Created at: March 22, 2026, 3:34 p.m.