Triple

T17536191
Position Surface form Disambiguated ID Type / Status
Subject Monrovia, California E427065 entity
Predicate hasRailStation P726 FINISHED
Object Monrovia 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: Monrovia station | Statement: [Monrovia, California, hasRailStation, Monrovia station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monrovia station
Context triple: [Monrovia, California, hasRailStation, Monrovia station]
  • A. Monrovia station chosen
    Monrovia station is a light rail station in Monrovia, California, serving LA Metro's A Line and acting as a key transit hub for the San Gabriel Valley.
  • B. Loria station
    Loria station is a stop on Buenos Aires’ Line A subway, serving passengers in the Balvanera neighborhood of the city.
  • C. Rakwon Station
    Rakwon Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
  • D. Los Dominicos station
    Los Dominicos station is a Santiago Metro station in Chile that serves as the eastern terminus of Line 1, located near the Los Dominicos Park and cultural center in the Las Condes district.
  • E. Darien station
    Darien station is a commuter rail stop on the Metro-North Railroad's New Haven Line serving the town of Darien, Connecticut.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536b8d6c8190906314708001a830 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.