Triple
T2711753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plumbaginaceae |
E59876
|
entity |
| Predicate | subdivisionRanks |
P42499
|
FINISHED |
| Object | genera |
—
|
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: genera | Statement: [Plumbaginaceae, subdivisionRanks, genera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionRanks Context triple: [Plumbaginaceae, subdivisionRanks, genera]
-
A.
subdivisionRank
Indicates the hierarchical level or type of administrative or territorial subdivision that an entity occupies within a larger organizational or geographic structure.
-
B.
hasHigherLevelSubdivision
Indicates that one administrative or organizational unit is contained within and subordinate to a larger, higher-level subdivision.
-
C.
highestLevelSubdivision
Indicates that one administrative or territorial unit is the topmost (largest or most authoritative) subdivision within a given political or geographic hierarchy.
-
D.
hasSubdivision
Indicates that one entity is divided into and contains another entity as one of its constituent parts or administrative units.
-
E.
hasTypeOfSubdivision
Indicates that one administrative or territorial unit is classified as a specific kind or category of subdivision.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda78c4f08190bb1217f08198c4cc |
completed | March 7, 2026, 7:57 a.m. |
| PD | Predicate disambiguation | batch_69abd8224c688190bb4a362360b03007 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd8abcc348190bfa05c0abc4bcee7 |
completed | March 7, 2026, 7:50 a.m. |
Created at: March 6, 2026, 9:55 p.m.