Triple
T32187331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poelagus |
E822140
|
entity |
| Predicate | includesOrganismsWithCommonName |
P122182
|
FINISHED |
| Object | African savanna hare |
—
|
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: African savanna hare | Statement: [Poelagus, includesOrganismsWithCommonName, African savanna hare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOrganismsWithCommonName Context triple: [Poelagus, includesOrganismsWithCommonName, African savanna hare]
-
A.
includesOrganisms
chosen
Indicates that one entity contains, encompasses, or has as members one or more specified organisms.
-
B.
includesSpeciesCommonName
Indicates that an entity contains or specifies the common (vernacular) name of a species.
-
C.
containsOrganismsWith
Indicates that one entity includes or holds within it one or more organisms associated with another entity.
-
D.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
E.
hasCommonSpecies
Indicates that two entities share at least one species in common.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a01b841f5508190832bba00cf795bad |
completed | May 11, 2026, 11:06 a.m. |
| PD | Predicate disambiguation | batch_6a01b59541fc8190a9b13a55327c4aa1 |
completed | May 11, 2026, 10:55 a.m. |
Created at: May 1, 2026, 12:35 a.m.