Triple

T15708810
Position Surface form Disambiguated ID Type / Status
Subject Alamut period E380780 entity
Predicate hasFortress P11932 FINISHED
Object Lambsar
Lambsar was a major mountain stronghold of the Nizari Ismaili state in Iran, renowned as one of its most formidable and strategically important fortresses.
 E1172637 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: Lambsar | Statement: [Alamut period, hasFortress, Lambsar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lambsar
Context triple: [Alamut period, hasFortress, Lambsar]
  • A. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • B. Garmsar
    Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
  • C. Barsham
    Barsham is a small rural village and civil parish located in the English county of Suffolk.
  • D. Sarkel
    Sarkel was a major fortified city and strategic stronghold of the Khazar Khaganate, controlling key trade routes along the lower Don River in medieval Eastern Europe.
  • E. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • 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: Lambsar
Triple: [Alamut period, hasFortress, Lambsar]
Generated description
Lambsar was a major mountain stronghold of the Nizari Ismaili state in Iran, renowned as one of its most formidable and strategically important fortresses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lambsar
Target entity description: Lambsar was a major mountain stronghold of the Nizari Ismaili state in Iran, renowned as one of its most formidable and strategically important fortresses.
  • A. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • B. Garmsar
    Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
  • C. Barsham
    Barsham is a small rural village and civil parish located in the English county of Suffolk.
  • D. Sarkel
    Sarkel was a major fortified city and strategic stronghold of the Khazar Khaganate, controlling key trade routes along the lower Don River in medieval Eastern Europe.
  • E. Larevat
    Larevat is an Oceanic language spoken in Vanuatu, closely related to and geographically near the Uripiv-Wala-Rano-Atchin language cluster.
  • 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_69d86d9bf930819082b30cf6d169297c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f8d8b648190842c635f2ae7bfa4 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff757b7e0c81909b32aecc093c93e4 completed May 9, 2026, 5:57 p.m.
NEDg Description generation batch_69ff76deb1948190bc49825719ac97d5 completed May 9, 2026, 6:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff77642ba4819095c1acc65da06135 completed May 9, 2026, 6:05 p.m.
Created at: April 10, 2026, 4:45 a.m.