Triple

T26902937
Position Surface form Disambiguated ID Type / Status
Subject Old World stink badgers E678078 entity
Predicate hasSpecies P965 FINISHED
Object Palawan stink badger
The Palawan stink badger is a small, nocturnal, skunk-like mammal endemic to the Philippine island of Palawan, known for its powerful anal scent glands used in defense.
E1748652 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: Palawan stink badger | Statement: [Old World stink badgers, hasSpecies, Palawan stink badger]
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: Palawan stink badger
Triple: [Old World stink badgers, hasSpecies, Palawan stink badger]
Generated description
The Palawan stink badger is a small, nocturnal, skunk-like mammal endemic to the Philippine island of Palawan, known for its powerful anal scent glands used in defense.

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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61fb127c481908bc480561194a264 completed May 2, 2026, 4 p.m.
NED1 Entity disambiguation (via context triple) batch_6a123aa31b8081908f623a757a2077d1 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, 5:51 a.m.