Triple

T11627204
Position Surface form Disambiguated ID Type / Status
Subject Iași County E276301 entity
Predicate hasRailwayJunction P918 FINISHED
Object Pașcani E938401 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: Pașcani | Statement: [Iași County, hasRailwayJunction, Pașcani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pașcani
Context triple: [Iași County, hasRailwayJunction, Pașcani]
  • A. Pașcani chosen
    Pașcani is a town in northeastern Romania known as an important local railway junction and administrative center within the historical region of Moldavia.
  • B. Pustec
    Pustec is a small municipality in southeastern Albania, known for its ethnic Macedonian community and its location on the shores of Lake Prespa.
  • C. Poiana Pelegii
    Poiana Pelegii is a popular mountain meadow and trailhead area in Romania’s Retezat Mountains, serving as a key starting point for hikes into Retezat National Park.
  • D. Dorobanți
    Dorobanți is an upscale residential and commercial neighborhood in northern Bucharest, known for its embassies, cafes, and elegant streets.
  • E. Târnăveni
    Târnăveni is a town in central Romania, historically known for its chemical industry and location in the Transylvania region.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a1259cd08190a75eeacb5e39b858 completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef135cde4881908d1cf9f752592d60 completed April 27, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:39 p.m.