Triple

T34735178
Position Surface form Disambiguated ID Type / Status
Subject Rana chensinensis E1001318 entity
Predicate productName P196094 FINISHED
Object Oviductus Ranae
Oviductus Ranae is a traditional medicinal product derived from the dried oviducts of the Chinese brown frog, commonly used in East Asian medicine and health supplements.
 E2109042 NE FINISHED

How this triple was built (3 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: Oviductus Ranae | Statement: [Rana chensinensis, productName, Oviductus Ranae]
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: Oviductus Ranae
Triple: [Rana chensinensis, productName, Oviductus Ranae]
Generated description
Oviductus Ranae is a traditional medicinal product derived from the dried oviducts of the Chinese brown frog, commonly used in East Asian medicine and health supplements.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: productName
Context triple: [Rana chensinensis, productName, Oviductus Ranae]
  • A. productForm
    Indicates the specific physical or presentation format in which a product is offered or delivered (e.g., tablet, liquid, package type).
  • B. productFor
    Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
  • C. productTitle chosen
    Indicates the textual name or title assigned to a product.
  • D. productWith
    Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
  • E. byProduct
    Indicates that one entity is produced incidentally or as a secondary result of a process, activity, or creation involving another entity.
  • F. None of above.

Provenance (6 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_69f76daf739881909ed3554f98a2b433 completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69feafa1ba0081909013800b85a9f613 completed May 9, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a375bf1a60481908279d6a03d20063c completed June 21, 2026, 3:35 a.m.
NEDg Description generation batch_6a375c86eaf88190892431254a018ea3 completed June 21, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a375d2b3c308190b2dc3e3d805005ce completed June 21, 2026, 3:40 a.m.
PD Predicate disambiguation batch_69feae58d62c81909d031f3df8992883 completed May 9, 2026, 3:47 a.m.
Created at: May 3, 2026, 3:59 p.m.