Triple

T27975637
Position Surface form Disambiguated ID Type / Status
Subject میدان آزادی E706480 entity
Predicate نزدیک به P350 FINISHED
Object بزرگراه آیت‌الله سعیدی
بزرگراه آیت‌الله سعیدی یکی از شریان‌های اصلی غرب تهران است که مناطق اطراف میدان آزادی را به بخش‌های جنوبی شهر متصل می‌کند.
E1796633 NE FINISHED

How this triple was built (3 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: بزرگراه آیت‌الله سعیدی | Statement: [میدان آزادی, نزدیک به, بزرگراه آیت‌الله سعیدی]
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: بزرگراه آیت‌الله سعیدی
Triple: [میدان آزادی, نزدیک به, بزرگراه آیت‌الله سعیدی]
Generated description
بزرگراه آیت‌الله سعیدی یکی از شریان‌های اصلی غرب تهران است که مناطق اطراف میدان آزادی را به بخش‌های جنوبی شهر متصل می‌کند.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: نزدیک به
Context triple: [میدان آزادی, نزدیک به, بزرگراه آیت‌الله سعیدی]
  • A. near chosen
    Indicates that one entity is located at a short distance from another entity in space or position.
  • B. كانت_قريبة_من
    Indicates that one entity was physically or metaphorically close to another entity in space, time, or relationship.
  • C. nearPass
    Indicates that one entity moves or travels close to another entity without necessarily making direct contact or interaction.
  • D. definedNear
    Indicates that one entity is defined in close spatial or contextual proximity to another entity.
  • E. closerTo
    Indicates that one entity is at a smaller distance to a reference entity than another entity is.
  • F. None of above.

Provenance (6 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_69ef96b7f330819090f315318ba6977e completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f643ed0b7481908cf25f3afec0a61d completed May 2, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a131177e9f48190a9a6cd2452a16f51 completed May 24, 2026, 2:55 p.m.
NEDg Description generation batch_6a131304ef8c8190aba3b2492a73a190 completed May 24, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_6a1313c6b1208190920903aa5346950f completed May 24, 2026, 3:05 p.m.
PD Predicate disambiguation batch_69f641def1e88190a05bf865ced78b23 completed May 2, 2026, 6:26 p.m.
Created at: April 27, 2026, 7:41 p.m.