Triple

T13432562
Position Surface form Disambiguated ID Type / Status
Subject Mashhad Metro E313647 entity
Predicate hasStation P35 FINISHED
Object Vakilabad station
Vakilabad station is a metro station in Mashhad, Iran, serving as one of the key stops on the Mashhad Metro network.
 E1042847 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: Vakilabad station | Statement: [Mashhad Metro, hasStation, Vakilabad station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vakilabad station
Context triple: [Mashhad Metro, hasStation, Vakilabad station]
  • A. Dowlat Abad station
    Dowlat Abad station is a metro station in Tehran that serves passengers on the city's Line 6.
  • B. Shahid Sattari station
    Shahid Sattari station is a passenger station on Tehran Metro’s Line 6 serving commuters in its surrounding area of the city.
  • C. Yadegar-e Emam station
    Yadegar-e Emam station is a Tehran Metro station serving passengers on the city’s Line 6.
  • D. Navab-e Safavi station
    Navab-e Safavi station is a Tehran Metro station serving passengers in central Tehran as part of the city’s urban rail network.
  • E. Shahid Beheshti Metro Station
    Shahid Beheshti Metro Station is a key interchange station in the Tehran Metro network, connecting major lines and serving as an important transit hub in Iran’s capital.
  • 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: Vakilabad station
Triple: [Mashhad Metro, hasStation, Vakilabad station]
Generated description
Vakilabad station is a metro station in Mashhad, Iran, serving as one of the key stops on the Mashhad Metro network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vakilabad station
Target entity description: Vakilabad station is a metro station in Mashhad, Iran, serving as one of the key stops on the Mashhad Metro network.
  • A. Dowlat Abad station
    Dowlat Abad station is a metro station in Tehran that serves passengers on the city's Line 6.
  • B. Shahid Sattari station
    Shahid Sattari station is a passenger station on Tehran Metro’s Line 6 serving commuters in its surrounding area of the city.
  • C. Yadegar-e Emam station
    Yadegar-e Emam station is a Tehran Metro station serving passengers on the city’s Line 6.
  • D. Navab-e Safavi station
    Navab-e Safavi station is a Tehran Metro station serving passengers in central Tehran as part of the city’s urban rail network.
  • E. Shahid Beheshti Metro Station
    Shahid Beheshti Metro Station is a key interchange station in the Tehran Metro network, connecting major lines and serving as an important transit hub in Iran’s capital.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaed41a5481908800033303224adb completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461f44b08190802290db7a4e6a5e completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f749b9b6408190a8a925051ccb2a4a completed May 3, 2026, 1:12 p.m.
NED2 Entity disambiguation (via description) batch_69f74a13463081908ba204f0ec4931d1 completed May 3, 2026, 1:13 p.m.
Created at: April 9, 2026, 9:40 p.m.