Triple
T36614892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapirus indicus |
E903575
|
entity |
| Predicate | largestSpeciesOf |
P186211
|
FINISHED |
| Object | tapir |
—
|
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: tapir | Statement: [Tapirus indicus, largestSpeciesOf, tapir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: largestSpeciesOf Context triple: [Tapirus indicus, largestSpeciesOf, tapir]
-
A.
hasLargestSpecies
Indicates that one entity possesses, contains, or is associated with the species that is largest in size or extent within a given group or context.
-
B.
largestLiving
Indicates that the subject is the largest currently living instance of a given type or within a specified group or context.
-
C.
hasLargeSpecies
Indicates that an entity possesses or includes at least one species that is considered large in size.
-
D.
maximumMaleBodyLength
Indicates the greatest recorded body length measured for male individuals of a given entity or species.
-
E.
largestLivingLizard
Indicates that the subject is the largest lizard species currently living in the world.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:11 p.m.