Triple

T28216498
Position Surface form Disambiguated ID Type / Status
Subject Urile urile E711326 entity
Predicate commonName P570 FINISHED
Object red-faced cormorant
The red-faced cormorant is a seabird of the North Pacific coasts, recognizable by its glossy dark plumage, bright red facial skin, and habit of nesting on rocky cliffs and islands.
 E1812113 NE FINISHED

How this triple was built (2 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: red-faced cormorant | Statement: [Urile urile, commonName, red-faced cormorant]
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: red-faced cormorant
Triple: [Urile urile, commonName, red-faced cormorant]
Generated description
The red-faced cormorant is a seabird of the North Pacific coasts, recognizable by its glossy dark plumage, bright red facial skin, and habit of nesting on rocky cliffs and islands.

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_69efb51cb5288190818c1f63a266af11 completed April 27, 2026, 7:12 p.m.
NER Named-entity recognition batch_69f6434e230081908de169f32c2fbc97 completed May 2, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a16070b50f4819097b285a989336de3 completed May 26, 2026, 8:48 p.m.
NEDg Description generation batch_6a1616a23a7881908da5ab29602bea55 completed May 26, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_6a1617d3e4e88190a0f51ec54e7b9328 completed May 26, 2026, 9:59 p.m.
Created at: April 27, 2026, 10:43 p.m.