Triple

T2645946
Position Surface form Disambiguated ID Type / Status
Subject Liliopsida E62983 entity
Predicate includesOrder P1393 FINISHED
Object Zingiberales
Zingiberales is an order of tropical flowering plants that includes gingers, bananas, and related ornamentals characterized by large leaves and often showy flowers.
 E285066 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: Zingiberales | Statement: [Liliopsida, includesOrder, Zingiberales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zingiberales
Context triple: [Liliopsida, includesOrder, Zingiberales]
  • A. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • B. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • C. Lozi
    Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
  • D. Ubangian
    Ubangian is a proposed branch of the Niger-Congo (sometimes considered an independent) language family spoken primarily in the Central African Republic and neighboring regions.
  • E. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • 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: Zingiberales
Triple: [Liliopsida, includesOrder, Zingiberales]
Generated description
Zingiberales is an order of tropical flowering plants that includes gingers, bananas, and related ornamentals characterized by large leaves and often showy flowers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zingiberales
Target entity description: Zingiberales is an order of tropical flowering plants that includes gingers, bananas, and related ornamentals characterized by large leaves and often showy flowers.
  • A. Luba
    Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
  • B. Soshanguve
    Soshanguve is a large township in the northern part of the Gauteng province of South Africa, known for its diverse population and proximity to Pretoria.
  • C. Lozi
    Lozi is a Bantu language spoken primarily by the Lozi people in western Zambia and surrounding regions of southern Africa.
  • D. Ubangian
    Ubangian is a proposed branch of the Niger-Congo (sometimes considered an independent) language family spoken primarily in the Central African Republic and neighboring regions.
  • E. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • 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_69ab4c3f2dcc819082df80f5e032f690 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abd91846b4819093a063c15e1ee6af completed March 7, 2026, 7:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98c721b08190b380d3625126cb55 completed March 10, 2026, 4:06 a.m.
NEDg Description generation batch_69af996e93f08190ac4b8faa64fb0550 completed March 10, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69af99d58744819098633b2b51f7943e completed March 10, 2026, 4:11 a.m.
Created at: March 6, 2026, 9:53 p.m.