Triple

T18849856
Position Surface form Disambiguated ID Type / Status
Subject Lisbon Zoo E461010 entity
Predicate nearPublicTransport P5822 FINISHED
Object Sete Rios train station NE NERFINISHED

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: Sete Rios train station | Statement: [Lisbon Zoo, nearPublicTransport, Sete Rios train station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sete Rios train station
Context triple: [Lisbon Zoo, nearPublicTransport, Sete Rios train station]
  • A. Sete Rios railway station chosen
    Sete Rios railway station is a major transport hub in Lisbon, Portugal, serving suburban and long-distance trains and integrating with the adjacent Sete Rios bus terminal and metro network.
  • B. Buendia station
    Buendia station is an elevated rapid transit stop on Manila's MRT Line 3 serving the busy Buendia Avenue area in Makati, Philippines.
  • C. Buendia station
    Buendia station is a railway stop on the Philippine National Railways network serving passengers in the Makati area of Metro Manila.
  • D. Sete Rios bus terminal
    Sete Rios bus terminal is a major intercity and regional bus hub in Lisbon, Portugal, providing connections to destinations across the country and beyond.
  • E. San Pablo station
    San Pablo station is an interchange station in the Santiago Metro network that connects Line 5 with other lines in the western part of Santiago, Chile.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8f1abdc819081638ed384da191e completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.