Triple

T1092728
Position Surface form Disambiguated ID Type / Status
Subject Zurich Hauptbahnhof E24201 entity
Predicate locatedNear P294 FINISHED
Object Limmat River E118490 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: Limmat River | Statement: [Zurich Hauptbahnhof, locatedNear, Limmat River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limmat River
Context triple: [Zurich Hauptbahnhof, locatedNear, Limmat River]
  • A. Limmat River chosen
    The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare River.
  • B. Miljacka River
    The Miljacka River is a small but historically significant river in Bosnia and Herzegovina that flows through the center of Sarajevo, shaping the city's landscape and urban life.
  • C. Adhaim River
    The Adhaim River is a significant river in Iraq that flows through the northeastern part of the country before joining the Tigris.
  • D. Setun River
    The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva River.
  • E. Buotama River
    The Buotama River is a Siberian waterway in Russia’s Sakha Republic that flows through remote taiga landscapes before joining the Lena River.
  • 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_69a4940542308190ac2a0b1f730b7cfc completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4b99bd06c8190bce1d77b0337b07c completed March 1, 2026, 10:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69aea815a69c8190b5caf24e351bb53a completed March 9, 2026, 10:59 a.m.
Created at: March 1, 2026, 7:42 p.m.