Triple

T21204068
Position Surface form Disambiguated ID Type / Status
Subject Mart Laar E522531 entity
Predicate familyName P18 FINISHED
Object Laar
Laar is an Estonian surname most notably borne by Mart Laar, a prominent historian and former Prime Minister of Estonia.
E1471978 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: Laar | Statement: [Mart Laar, familyName, Laar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laar
Context triple: [Mart Laar, familyName, Laar]
  • A. Laar
    Laar is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
  • B. Laer
    Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
  • C. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • D. Larak
    Larak was an ancient Sumerian city-state, known primarily from the Sumerian King List as an early center of kingship in Mesopotamia.
  • E. Lare
    Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
  • 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: Laar
Triple: [Mart Laar, familyName, Laar]
Generated description
Laar is an Estonian surname most notably borne by Mart Laar, a prominent historian and former Prime Minister of Estonia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laar
Target entity description: Laar is an Estonian surname most notably borne by Mart Laar, a prominent historian and former Prime Minister of Estonia.
  • A. Laar
    Laar is a village and district (Ortsteil) of the town of Zierenberg in the state of Hesse, Germany.
  • B. Laer
    Laer is a small municipality in the Steinfurt district of North Rhine-Westphalia, Germany, known for its rural character and traditional Westphalian architecture.
  • C. Laerru
    Laerru is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • D. Larak
    Larak was an ancient Sumerian city-state, known primarily from the Sumerian King List as an early center of kingship in Mesopotamia.
  • E. Lare
    Lare is a town in Ethiopia’s western Gambela Region, known as one of the area’s principal local centers.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7343367308190b1b772d3c8e25dcb completed April 21, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ed0fc988190b112058f5bb03515 completed May 17, 2026, 8:39 a.m.
NEDg Description generation batch_6a09807f39188190adaba95201b15d49 completed May 17, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_6a0981288c4c8190bc9ecf6073be5ab3 completed May 17, 2026, 8:49 a.m.
Created at: April 16, 2026, 3:19 p.m.