Triple

T3264006
Position Surface form Disambiguated ID Type / Status
Subject Nader Shah E68479 entity
Predicate birthPlace P1 FINISHED
Object Dastgerd
Dastgerd is a locality in northeastern Iran historically noted as the birthplace of the 18th-century Persian ruler Nader Shah.
 E341512 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: Dastgerd | Statement: [Nader Shah, birthPlace, Dastgerd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dastgerd
Context triple: [Nader Shah, birthPlace, Dastgerd]
  • A. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • B. Arakhin
    Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • C. Thann
    Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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: Dastgerd
Triple: [Nader Shah, birthPlace, Dastgerd]
Generated description
Dastgerd is a locality in northeastern Iran historically noted as the birthplace of the 18th-century Persian ruler Nader Shah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dastgerd
Target entity description: Dastgerd is a locality in northeastern Iran historically noted as the birthplace of the 18th-century Persian ruler Nader Shah.
  • A. Sharazan
    "Sharazan" is a popular Italian pop song performed by the duo Al Bano and Romina Power, known for its melodic style and romantic themes.
  • B. Arakhin
    Arakhin is a tractate of the Mishnah and Talmud that deals primarily with the laws of vows of valuation and consecration to the Temple.
  • C. Thann
    Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
  • D. Krakhuna
    Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
  • E. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28ee82a78819082582a24bac97f44 completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b29015e77481908c8b41fc3f75dd6f completed March 12, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69b2ac133f648190a4040881db05a353 completed March 12, 2026, 12:05 p.m.
Created at: March 8, 2026, 3:09 p.m.