Triple
T26996256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buceros bicornis |
E679985
|
entity |
| Predicate | femaleSealsNestWith |
P163083
|
FINISHED |
| Object | mud and droppings |
—
|
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: mud and droppings | Statement: [Buceros bicornis, femaleSealsNestWith, mud and droppings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: femaleSealsNestWith Context triple: [Buceros bicornis, femaleSealsNestWith, mud and droppings]
-
A.
femaleSealsNest
Indicates that female seals create or occupy nests in a particular location or context.
-
B.
femaleFeedsOn
Indicates that a female individual consumes another entity as a food source.
-
C.
numberOfSeals
Indicates the quantitative count of seals associated with a given entity or context.
-
D.
bearsOnBreast
Indicates that one entity is depicted or represented as being carried or displayed on the breast or chest area of another entity.
-
E.
maleFeedsFemaleAndChicks
Indicates that an adult male provides food to both an adult female and their chicks.
- F. None of above. chosen
Provenance (4 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_69eeeb52908c8190bd246244686aa455 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f63639a84c81909d700a539b458b42 |
completed | May 2, 2026, 5:36 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6352df6148190bc10772cd40bd7b3 |
completed | May 2, 2026, 5:32 p.m. |
Created at: April 27, 2026, 6:54 a.m.