Triple

T2731291
Position Surface form Disambiguated ID Type / Status
Subject Tobalaba E60318 entity
Predicate hasStationCode P1289 FINISHED
Object TOB
TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
 E292542 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: TOB | Statement: [Tobalaba, hasStationCode, TOB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TOB
Context triple: [Tobalaba, hasStationCode, TOB]
  • A. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
  • B. TTO
    TTO is the FIFA country code representing the Trinidad and Tobago national football team in international competitions.
  • C. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • D. T.O.T.S.
    T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
  • E. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • 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: TOB
Triple: [Tobalaba, hasStationCode, TOB]
Generated description
TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TOB
Target entity description: TOB is the station code for Tobalaba, a major interchange station on the Santiago Metro in Chile.
  • A. TTO
    TTO is a DARPA office focused on developing and demonstrating high-risk, high-payoff advanced military technologies and systems.
  • B. TTO
    TTO is the FIFA country code representing the Trinidad and Tobago national football team in international competitions.
  • C. TB
    TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
  • D. T.O.T.S.
    T.O.T.S. is an animated Disney Junior series that follows two delivery birds who transport baby animals to their families while learning lessons about friendship and responsibility.
  • E. Tozzer
    Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaee29088190bc4c734e48995794 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb69eeedc81908ad654de9e1259ea completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb703a5f8819097b71e19db11feaf completed March 10, 2026, 6:15 a.m.
NED2 Entity disambiguation (via description) batch_69afb7acf3588190813bde4428dfe5f4 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:56 p.m.