Triple

T456507
Position Surface form Disambiguated ID Type / Status
Subject Gori railway station E7243 entity
Predicate connects P390 FINISHED
Object Gori E1743 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: Gori | Statement: [Gori railway station, connects, Gori]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gori
Context triple: [Gori railway station, connects, Gori]
  • A. Gori chosen
    Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
  • B. Kamen
    Kamen is a surname most prominently associated with American inventor and entrepreneur Dean Kamen, known for creating the Segway and numerous medical devices.
  • C. Golus
    Golus is a Yiddish term referring to the Jewish exile and dispersion from their ancestral homeland, encompassing both the physical diaspora and its spiritual-historical implications.
  • D. Kalderash
    Kalderash are a prominent subgroup of the Roma people, traditionally known as itinerant metalworkers and craftsmen spread across Eastern and Central Europe and beyond.
  • E. 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.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa1616481909399f92551a0c9e3 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a462f607b88190afe5335699f216eb completed March 1, 2026, 4:01 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.