Triple
T28831689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chrysochloridae |
E728065
|
entity |
| Predicate | geologicalAffinity |
P167932
|
FINISHED |
| Object | Afrotheria |
—
|
NE NERFINISHED |
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: Afrotheria | Statement: [Chrysochloridae, geologicalAffinity, Afrotheria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geologicalAffinity Context triple: [Chrysochloridae, geologicalAffinity, Afrotheria]
-
A.
paleogeographicAffinity
Indicates a relationship where entities share or are associated with a particular ancient geographic region or configuration of the Earth's surface.
-
B.
hasTectonicAffinity
Indicates a relationship where one geological unit or feature shares a common tectonic origin, setting, or structural association with another.
-
C.
geologyRelatedTo
Indicates a relationship where one geological entity, feature, or concept is connected, associated, or relevant to another within the domain of geology.
-
D.
hasGeologicalNature
Indicates that something possesses a specific geological character, composition, or formation type.
-
E.
geologicalDiversity
Indicates the degree and variety of different geological features, materials, and structures present within a given area or context.
- 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f66e5f7e30819094530abceabd5f43 |
completed | May 2, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69f66abfdaf08190a55f14c70be6fd4d |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66d75a8788190aa9ca2c977429045 |
completed | May 2, 2026, 9:32 p.m. |
Created at: April 28, 2026, 6:38 a.m.