Triple
T19735362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moropus |
E473963
|
entity |
| Predicate | distinguishedFromHorsesBy |
P137135
|
FINISHED |
| Object | presence of large claws instead of hooves |
—
|
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: presence of large claws instead of hooves | Statement: [Moropus, distinguishedFromHorsesBy, presence of large claws instead of hooves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishedFromHorsesBy Context triple: [Moropus, distinguishedFromHorsesBy, presence of large claws instead of hooves]
-
A.
hasHoovesOf
Indicates that one entity possesses or is characterized by the hooves belonging to another entity.
-
B.
hasHooves
Indicates that an entity possesses hooves as a characteristic physical feature.
-
C.
featuresHorse
Indicates that something includes, presents, or prominently involves a horse as a central element or subject.
-
D.
typicalAttributesOfHorse
Indicates the standard or commonly expected characteristics or properties associated with a horse.
-
E.
distinguishedFromRodentsBy
Indicates that one entity is set apart from or contrasted with rodents based on specific distinguishing characteristics or criteria.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515d138c8190a4c4d112ed5756a3 |
completed | April 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bbedf081908d801600e2af94a7 |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:47 p.m.