Triple

T19696780
Position Surface form Disambiguated ID Type / Status
Subject Caesalpinioideae E472980 entity
Predicate containsTaxon P9413 FINISHED
Object Mora
Mora is a small genus of large, tropical hardwood trees in the legume family, known for their dense, durable timber and occurrence in Neotropical rainforests.
E1391768 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: Mora | Statement: [Caesalpinioideae, containsTaxon, Mora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mora
Context triple: [Caesalpinioideae, containsTaxon, Mora]
  • A. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • B. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Mora
    Mora is a canton in Costa Rica’s San José Province known for its rural landscapes, agricultural activities, and small-town communities.
  • E. Daulian
    Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
  • 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: Mora
Triple: [Caesalpinioideae, containsTaxon, Mora]
Generated description
Mora is a small genus of large, tropical hardwood trees in the legume family, known for their dense, durable timber and occurrence in Neotropical rainforests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mora
Target entity description: Mora is a small genus of large, tropical hardwood trees in the legume family, known for their dense, durable timber and occurrence in Neotropical rainforests.
  • A. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • B. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Mora
    Mora is a canton in Costa Rica’s San José Province known for its rural landscapes, agricultural activities, and small-town communities.
  • E. Daulian
    Daulian refers to an inhabitant or native of the ancient Greek town of Daulis in Phocis.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421527b08190858788265043792d completed April 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ab9273788190af6782d1c1f7d66f completed May 15, 2026, 11:26 p.m.
NEDg Description generation batch_6a07aca756b08190b830a10f8e1cb906 completed May 15, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_6a07ad3212108190b691543e434f7514 completed May 15, 2026, 11:33 p.m.
Created at: April 10, 2026, 1:46 p.m.