Triple

T14036907
Position Surface form Disambiguated ID Type / Status
Subject Line 1 (Athens Metro) E337735 entity
Predicate depot P14646 FINISHED
Object Attiki depot
Attiki depot is a maintenance and storage facility serving Line 1 of the Athens Metro in Athens, Greece.
E1075052 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: Attiki depot | Statement: [Line 1 (Athens Metro), depot, Attiki depot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attiki depot
Context triple: [Line 1 (Athens Metro), depot, Attiki depot]
  • A. Elliniko depot
    Elliniko depot is a maintenance and storage facility serving the Athens Metro system in Athens, Greece.
  • B. Ansim Depot
    Ansim Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
  • C. Carnide depot
    Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • D. Caolu Depot
    Caolu Depot is a maintenance and storage facility serving Shanghai Metro’s Line 9 in the Pudong area.
  • E. Nopo Depot
    Nopo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
  • 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: Attiki depot
Triple: [Line 1 (Athens Metro), depot, Attiki depot]
Generated description
Attiki depot is a maintenance and storage facility serving Line 1 of the Athens Metro in Athens, Greece.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Attiki depot
Target entity description: Attiki depot is a maintenance and storage facility serving Line 1 of the Athens Metro in Athens, Greece.
  • A. Elliniko depot
    Elliniko depot is a maintenance and storage facility serving the Athens Metro system in Athens, Greece.
  • B. Ansim Depot
    Ansim Depot is a maintenance and storage facility serving the Daegu Metro system in Daegu, South Korea.
  • C. Carnide depot
    Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
  • D. Caolu Depot
    Caolu Depot is a maintenance and storage facility serving Shanghai Metro’s Line 9 in the Pudong area.
  • E. Nopo Depot
    Nopo Depot is a maintenance and storage facility serving the Busan Metro system in Busan, South Korea.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de30e312148190a6be0a3258364e6e completed April 14, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc33bc20081909abea7e64d1bd578 completed May 6, 2026, 10:39 p.m.
NEDg Description generation batch_69fbc53729d081908b74532d2ed54b7a completed May 6, 2026, 10:48 p.m.
NED2 Entity disambiguation (via description) batch_69fbc5d76cdc8190970778580437cf72 completed May 6, 2026, 10:51 p.m.
Created at: April 9, 2026, 10:20 p.m.