Triple

T2631998
Position Surface form Disambiguated ID Type / Status
Subject Baquedano E59654 entity
Predicate hasStationCode P1289 FINISHED
Object BAQ
BAQ is the station code for Baquedano, a transit station in Chile’s transportation network.
 E284710 NE FINISHED

How this triple was built (4 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: BAQ | Statement: [Baquedano, hasStationCode, BAQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BAQ
Context triple: [Baquedano, hasStationCode, BAQ]
  • A. BAAS
    BAAS is the acronym commonly used for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • B. BAW
    BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
  • C. BUQ
    BUQ is the IATA airport code for Joshua Mqabuko Nkomo International Airport serving Bulawayo, Zimbabwe.
  • D. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • E. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BAQ
Triple: [Baquedano, hasStationCode, BAQ]
Generated description
BAQ is the station code for Baquedano, a transit station in Chile’s transportation network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BAQ
Target entity description: BAQ is the station code for Baquedano, a transit station in Chile’s transportation network.
  • A. BAAS
    BAAS is the acronym commonly used for the British Association for the Advancement of Science, a historic organization dedicated to promoting science and its understanding.
  • B. BAW
    BAW is the ICAO airline designator used in aviation to identify British Airways flights and operations.
  • C. BUQ
    BUQ is the IATA airport code for Joshua Mqabuko Nkomo International Airport serving Bulawayo, Zimbabwe.
  • D. BA
    BA is the New York Stock Exchange ticker symbol for The Boeing Company, a major American aerospace and defense manufacturer.
  • E. BA
    BA is the vehicle registration code used on license plates for cars registered in Bratislava, the capital city of Slovakia.
  • 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_69ab4ac8596c8190b34997e73d9e991c completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8c6e540819087c7f92432b27b0f completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a7021081909f81c4ddb48fa00c completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af9172ba248190bbc68a00b43d9b44 completed March 10, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69af92500920819082c651f75a06dd72 completed March 10, 2026, 3:38 a.m.
Created at: March 6, 2026, 9:50 p.m.