Triple

T8438951
Position Surface form Disambiguated ID Type / Status
Subject Gorgan E199300 entity
Predicate formerName P65 FINISHED
Object Astarabad
Astarabad is the historical name of the city now known as Gorgan in northeastern Iran, once an important regional center near the Caspian Sea.
 E792266 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: Astarabad | Statement: [Gorgan, formerName, Astarabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Astarabad
Context triple: [Gorgan, formerName, Astarabad]
  • A. Asadabad
    Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
  • B. Nazarabad
    Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
  • C. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • D. Ardabil
    Ardabil is a historic city in northwestern Iran known for its cultural heritage, including the UNESCO-listed Sheikh Safi al-Din Khānegāh and Shrine Ensemble.
  • E. Birjand
    Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
  • 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: Astarabad
Triple: [Gorgan, formerName, Astarabad]
Generated description
Astarabad is the historical name of the city now known as Gorgan in northeastern Iran, once an important regional center near the Caspian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Astarabad
Target entity description: Astarabad is the historical name of the city now known as Gorgan in northeastern Iran, once an important regional center near the Caspian Sea.
  • A. Asadabad
    Asadabad is a small but strategically important city in eastern Afghanistan, serving as the capital of Kunar Province near the Pakistani border.
  • B. Nazarabad
    Nazarabad is a city in Iran that serves as an important urban center within Alborz Province.
  • C. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • D. Ardabil
    Ardabil is a historic city in northwestern Iran known for its cultural heritage, including the UNESCO-listed Sheikh Safi al-Din Khānegāh and Shrine Ensemble.
  • E. Birjand
    Birjand is a city in eastern Iran that serves as the capital of South Khorasan Province and is known for its historical forts and saffron production.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe135657c81908ed8156fbfbef6ec completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e2b483308190ab0bb30c483cafcc completed April 4, 2026, 10:06 a.m.
NEDg Description generation batch_69d0e502b68081909a9f9476421ba9b5 completed April 4, 2026, 10:16 a.m.
NED2 Entity disambiguation (via description) batch_69d0e5af7360819096c6295de0ce5f32 completed April 4, 2026, 10:19 a.m.
Created at: March 30, 2026, 6:08 p.m.