Triple
T26722941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apalis |
E673753
|
entity |
| Predicate | containsTaxon |
P9413
|
FINISHED |
| Object |
Apalis cinerea
Apalis cinerea, commonly known as the grey apalis, is a small insectivorous songbird of the Cisticolidae family found in forested regions of central and eastern Africa.
|
E1754327
|
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: Apalis cinerea | Statement: [Apalis, containsTaxon, Apalis cinerea]
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: Apalis cinerea Triple: [Apalis, containsTaxon, Apalis cinerea]
Generated description
Apalis cinerea, commonly known as the grey apalis, is a small insectivorous songbird of the Cisticolidae family found in forested regions of central and eastern Africa.
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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6180805e08190ba2b37decca784ce |
completed | May 2, 2026, 3:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a123a969f148190a3a2edabb13e7d6f |
completed | May 23, 2026, 11:39 p.m. |
| NEDg | Description generation | batch_6a123b8c553081909d6afd9e8a9878af |
completed | May 23, 2026, 11:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a123c3427dc8190b6e78dcaabf69fab |
completed | May 23, 2026, 11:45 p.m. |
Created at: April 27, 2026, 3:41 a.m.