Triple

T3163497
Position Surface form Disambiguated ID Type / Status
Subject Landa scripts E66154 entity
Predicate alsoKnownAs P39 FINISHED
Object Landa
Landa is a writing system historically used in parts of the Indian subcontinent, particularly in the Punjab region, for commercial and administrative purposes.
 E334229 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: Landa | Statement: [Landa scripts, alsoKnownAs, Landa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Landa
Context triple: [Landa scripts, alsoKnownAs, Landa]
  • A. Gonda
    Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
  • B. Massandra
    Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
  • C. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • D. Silvana
    Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
  • E. Recha
    Recha is the compassionate adopted daughter of the Jewish merchant Nathan in Gotthold Ephraim Lessing’s Enlightenment drama "Nathan the Wise," central to the play’s exploration of religious tolerance and humanism.
  • 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: Landa
Triple: [Landa scripts, alsoKnownAs, Landa]
Generated description
Landa is a writing system historically used in parts of the Indian subcontinent, particularly in the Punjab region, for commercial and administrative purposes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Landa
Target entity description: Landa is a writing system historically used in parts of the Indian subcontinent, particularly in the Punjab region, for commercial and administrative purposes.
  • A. Gonda
    Gonda is a city in the Indian state of Uttar Pradesh, known for its agricultural economy and proximity to the Ghaghara River.
  • B. Massandra
    Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
  • C. Balzar
    Balzar is a town and agricultural center in coastal Ecuador, known for its rice and banana production within Guayas Province.
  • D. Silvana
    Silvana is a feminine given name used in various cultures, often associated with meanings related to forests or woods.
  • E. Recha
    Recha is the compassionate adopted daughter of the Jewish merchant Nathan in Gotthold Ephraim Lessing’s Enlightenment drama "Nathan the Wise," central to the play’s exploration of religious tolerance and humanism.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61a4b8481908897a8d39d94c2f4 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235d823948190b1fbe0dbf303133d completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b239bac9c48190b38fd7fa59b4c061 completed March 12, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69b23a0dcb7c819080a89f08948aff3a completed March 12, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:06 p.m.