Triple
T22366223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Lankan leopard |
E552910
|
entity |
| Predicate | bodySizeRelativeToOtherLeopards |
P3593
|
FINISHED |
| Object | relatively large |
—
|
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: relatively large | Statement: [Sri Lankan leopard, bodySizeRelativeToOtherLeopards, relatively large]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bodySizeRelativeToOtherLeopards Context triple: [Sri Lankan leopard, bodySizeRelativeToOtherLeopards, relatively large]
-
A.
canineSizeRelativeToApes
Indicates how the size of an entity’s canine teeth compares to those of apes, typically in relative or proportional terms.
-
B.
lionLength
Indicates the length measurement associated with a lion.
-
C.
bodySize
chosen
Indicates the relative physical magnitude or scale of an entity’s body, such as how large or small it is.
-
D.
lionWeight
Indicates the weight or mass attributed to a lion.
-
E.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1580074dc819091305ac7017000d3 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:44 p.m.