Triple

T36580139
Position Surface form Disambiguated ID Type / Status
Subject Calidris E902368 entity
Predicate includesSpecies P10920 FINISHED
Object Calidris ferruginea
Calidris ferruginea, commonly known as the curlew sandpiper, is a small migratory shorebird that breeds in Arctic Siberia and winters in Africa, Asia, and Australasia.
E2195785 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: Calidris ferruginea | Statement: [Calidris, includesSpecies, Calidris ferruginea]
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: Calidris ferruginea
Triple: [Calidris, includesSpecies, Calidris ferruginea]
Generated description
Calidris ferruginea, commonly known as the curlew sandpiper, is a small migratory shorebird that breeds in Arctic Siberia and winters in Africa, Asia, and Australasia.

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_69f76e64d8908190868473959a250b94 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7c2cd906c8190a83f03e234525d59 completed May 3, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a380efb1c81908ee75cfa0224c654 completed June 23, 2026, 7:38 a.m.
NEDg Description generation batch_6a3a38e3e30481909d7058161151526d completed June 23, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a3a4125ebd88190b0e2ceb7030c44f5 completed June 23, 2026, 8:17 a.m.
Created at: May 3, 2026, 4:11 p.m.