Triple

T4342727
Position Surface form Disambiguated ID Type / Status
Subject A9 E97820 entity
Predicate connectsMajorCity P56161 FINISHED
Object Berlin E5567 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: Berlin | Statement: [A9, connectsMajorCity, Berlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berlin
Context triple: [A9, connectsMajorCity, Berlin]
  • A. Berlin chosen
    Berlin is the capital and largest city of Germany, historically significant as a focal point of Cold War tensions and a major cultural, political, and economic center in Europe.
  • B. Berlin
    Berlin is a charismatic, calculating, and morally ambiguous mastermind and heist leader in the Spanish television series "Money Heist" (La Casa de Papel).
  • C. Berlin
    Berlin is a major Ethereum network upgrade that introduced various gas cost optimizations and transaction processing improvements to enhance the blockchain’s efficiency and performance.
  • D. Berlin AB
    Berlin AB is the central fare zone of Berlin’s public transport network, covering the inner city and surrounding urban areas served by the Verkehrsverbund Berlin-Brandenburg (VBB).
  • E. Berl
    Berl is a given name most notably associated with Berl Katznelson, a prominent Labor Zionist leader and ideologue in pre-state Israel.
  • 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: connectsMajorCity
Context triple: [A9, connectsMajorCity, Berlin]
  • A. connectsCity
    Indicates a relationship where one entity serves as a link or route that joins or provides direct access between two cities.
  • B. otherMajorCity
    Indicates that one city is another major city associated with or comparable in importance or status to the first city.
  • C. connectsTypeOfCity
    Indicates a relationship where one entity is linked to another as a specific type or category of city.
  • D. nearestMajorCity
    Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
  • E. connectsDowntownTo
    Indicates a relationship where one location, route, or service provides a direct connection or access to a downtown area.
  • F. None of above. chosen

Provenance (5 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35188e71c8190a3e82fa8d959de94 completed March 12, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6509a86a081908435094d0e80e9f4 completed March 15, 2026, 6:24 a.m.
PD Predicate disambiguation batch_69b34f4fe1c481908d6d66e15697c04b completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b350d1649881908fa6556d875a8b4d completed March 12, 2026, 11:48 p.m.
Created at: March 12, 2026, 11:14 p.m.