Triple

T1769819
Position Surface form Disambiguated ID Type / Status
Subject Montana E38848 entity
Predicate capital P234 FINISHED
Object Helena E35660 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: Helena | Statement: [Montana, capital, Helena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helena
Context triple: [Montana, capital, Helena]
  • A. Helena chosen
    Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
  • B. Helena
    Helena, also known as Saint Helena, was the mother of Roman Emperor Constantine the Great and is traditionally credited with finding the True Cross and promoting Christianity within the Roman Empire.
  • C. Larissa
    Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
  • D. Larissa
    Larissa is one of Neptune’s small, irregularly shaped inner moons, discovered in 1981 and composed primarily of dark, icy material.
  • E. Sebaste
    Sebaste was an ancient city in the central highlands of Samaria, refounded and expanded by Herod the Great as a major Hellenistic-Roman urban center.
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa648eb9488190b1be2d2b6d259634 completed March 6, 2026, 5:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c727e48190b934e9b97b084c7a completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.