Triple
T8459699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mountain nyala |
E200008
|
entity |
| Predicate | oneOfAfricaRarestAntelopes |
P82765
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [mountain nyala, oneOfAfricaRarestAntelopes, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfAfricaRarestAntelopes Context triple: [mountain nyala, oneOfAfricaRarestAntelopes, true]
-
A.
antlersPresentIn
Indicates that antlers are physically present within or on the specified location or entity.
-
B.
antlerType
Indicates the specific kind or classification of antlers that an entity possesses or is associated with.
-
C.
areEndangeredIn
Indicates that the entities are classified as endangered within a specified geographic area or jurisdiction.
-
D.
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.
-
E.
notableSpecies
Indicates that the subject is known for, or significantly associated with, the specified species.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe49fca788190a8728ff74f4d26f5 |
completed | March 31, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69cbd0fc634481909842c0a30077bfde |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:10 p.m.