Triple

T715538
Position Surface form Disambiguated ID Type / Status
Subject Hesse E14304 entity
Predicate hasFinancialCenter P11841 FINISHED
Object Frankfurt am Main E16481 NE FINISHED

How this triple was built (3 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: Frankfurt am Main | Statement: [Hesse, hasFinancialCenter, Frankfurt am Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfurt am Main
Context triple: [Hesse, hasFinancialCenter, Frankfurt am Main]
  • A. Frankfurt am Main chosen
    Frankfurt am Main is a major German financial and transportation hub on the River Main, known for hosting the European Central Bank and one of Europe’s busiest airports.
  • B. Mannheim
    Mannheim is a major city in southwestern Germany, known as an important industrial, commercial, and cultural center at the confluence of the Rhine and Neckar rivers.
  • C. Cologne
    Cologne is a historic German city on the Rhine River, renowned for its Gothic cathedral, vibrant cultural scene, and status as a major economic and media hub.
  • D. Karlsruhe
    Karlsruhe is a major city in southwestern Germany best known as the seat of the country’s highest courts and a central hub of German constitutional jurisprudence.
  • E. Düsseldorf
    Düsseldorf is a major German city on the Rhine River known for its fashion and art scenes, modern architecture, and status as an important economic and financial center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFinancialCenter
Context triple: [Hesse, hasFinancialCenter, Frankfurt am Main]
  • A. hasFinancialInstitution
    Indicates that one entity is associated with or linked to a financial institution, such as a bank or similar financial service provider.
  • B. hasFinancialDistrict chosen
    Indicates that a place or city contains a designated area primarily devoted to financial and banking activities.
  • C. hasBank
    Indicates that one entity possesses, is associated with, or is served by a particular bank (such as a financial institution or river bank).
  • D. hasFederallyRecognizedBranch
    Indicates that an entity possesses at least one branch, division, or subsidiary that is officially recognized by a federal authority.
  • E. hasCityOnBank
    Indicates that a city is located on the bank of a particular river or body of water.
  • F. None of above.

Provenance (4 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a574b4d881908b6d0be386081efd completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae890a2a0c8190a83cda5f037763bd completed March 9, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69a4a4f38898819089d79bad4f4ff2d2 completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.