Triple

T18242826
Position Surface form Disambiguated ID Type / Status
Subject Martinez Amtrak station E436861 entity
Predicate code P1537 FINISHED
Object MTZ
MTZ is the Amtrak station code for Martinez station in Martinez, California, a key stop on several intercity rail routes in the San Francisco Bay Area.
 E1314048 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: MTZ | Statement: [Martinez Amtrak station, code, MTZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTZ
Context triple: [Martinez Amtrak station, code, MTZ]
  • A. MTY
    MTY is the IATA airport code for General Mariano Escobedo International Airport serving Monterrey, Mexico.
  • B. Montaza
    Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
  • C. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • D. Mützel
    Mützel is a village and district (Ortsteil) of the town of Genthin in the state of Saxony-Anhalt, Germany.
  • E. Motal
    Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
  • 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: MTZ
Triple: [Martinez Amtrak station, code, MTZ]
Generated description
MTZ is the Amtrak station code for Martinez station in Martinez, California, a key stop on several intercity rail routes in the San Francisco Bay Area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTZ
Target entity description: MTZ is the Amtrak station code for Martinez station in Martinez, California, a key stop on several intercity rail routes in the San Francisco Bay Area.
  • A. MTY
    MTY is the IATA airport code for General Mariano Escobedo International Airport serving Monterrey, Mexico.
  • B. Montaza
    Montaza is a coastal district and popular recreational area in Alexandria, Egypt, known for its historic royal palace, expansive gardens, and Mediterranean beaches.
  • C. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • D. Mützel
    Mützel is a village and district (Ortsteil) of the town of Genthin in the state of Saxony-Anhalt, Germany.
  • E. Motal
    Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e4f0548190bc617e6acd17010d completed April 19, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac7124f88190bfc0064e00946586 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad3be75c819080f57a24747ec55f completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03aede6ea481908bb9acdb2ff17e9a completed May 12, 2026, 10:51 p.m.
Created at: April 10, 2026, 10:33 a.m.