Triple

T36882861
Position Surface form Disambiguated ID Type / Status
Subject Chapalichthys pardalis E911527 entity
Predicate genus P87 FINISHED
Object Chapalichthys
Chapalichthys is a small genus of goodeid livebearing fishes endemic to freshwater habitats in west-central Mexico.
E2209137 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: Chapalichthys | Statement: [Chapalichthys pardalis, genus, Chapalichthys]
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: Chapalichthys
Triple: [Chapalichthys pardalis, genus, Chapalichthys]
Generated description
Chapalichthys is a small genus of goodeid livebearing fishes endemic to freshwater habitats in west-central Mexico.

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_69f76e8335908190b77e7e11d0e80820 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f9fd6b987c8190acae10ec5758a505 completed May 5, 2026, 2:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e574cc6888190a289a5c3c24bb16a completed June 26, 2026, 10:41 a.m.
NEDg Description generation batch_6a3e5b33e4508190a75434c1413c4d6a completed June 26, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a3e7da5bd548190b736891357260cee completed June 26, 2026, 1:24 p.m.
Created at: May 3, 2026, 4:13 p.m.