Triple
T36031022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caterpillar Dreaming |
E1042257
|
entity |
| Predicate | hasAncestralBeings |
P34787
|
FINISHED |
| Object | caterpillar ancestors |
—
|
LITERAL 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: caterpillar ancestors | Statement: [Caterpillar Dreaming, hasAncestralBeings, caterpillar ancestors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAncestralBeings Context triple: [Caterpillar Dreaming, hasAncestralBeings, caterpillar ancestors]
-
A.
hasAncestralRoots
chosen
Indicates that one entity originates from, descends from, or is historically rooted in another entity or place.
-
B.
hasTribalAncestor
Indicates that an entity is descended from, or has lineage tracing back to, a specified tribal ancestor.
-
C.
alsoHasAncestry
Indicates that an entity possesses an additional ancestral lineage or heritage beyond its primary recorded ancestry.
-
D.
hasMultiGenerationalPresenceIn
Indicates that an entity has maintained a continuous or recurring presence across multiple generations within a specified place or context.
-
E.
hasGenealogicalRelation
Indicates that there exists a family or ancestry-based relationship (such as parent, child, sibling, or more distant kinship) between the related entities.
- 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_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 3, 2026, 4:07 p.m.