Triple
T36031052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caterpillar Dreaming |
E1042257
|
entity |
| Predicate | linkedToLanguageGroup |
P3349
|
FINISHED |
| Object | Arrernte language |
—
|
NE NERFINISHED |
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: Arrernte language | Statement: [Caterpillar Dreaming, linkedToLanguageGroup, Arrernte language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedToLanguageGroup Context triple: [Caterpillar Dreaming, linkedToLanguageGroup, Arrernte language]
-
A.
linkedToLanguage
Indicates that an entity has an association or connection with a specific language, such as being expressed in, related to, or dependent on that language.
-
B.
hasLanguageGroup
chosen
Indicates that an entity belongs to, is associated with, or is categorized under a particular language group.
-
C.
languageGroupAncestor
Indicates that one language group is an ancestor (historical or genealogical predecessor) of another language group in a language family.
-
D.
languageGroupAttribution
Indicates that an entity is associated with, classified under, or attributed to a particular language group.
-
E.
languageGroupName
Indicates the name assigned to a particular language group or linguistic classification.
- F. None of above.
Provenance (3 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_69f76e2c568881909e1e21f85252b0f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
Created at: May 3, 2026, 4:07 p.m.