Triple
T26100650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agave tequilana |
E658388
|
entity |
| Predicate | leafTip |
P159941
|
FINISHED |
| Object | sharp terminal spine |
—
|
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: sharp terminal spine | Statement: [Agave tequilana, leafTip, sharp terminal spine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafTip Context triple: [Agave tequilana, leafTip, sharp terminal spine]
-
A.
leafType
Indicates the specific kind or classification of leaf associated with an entity.
-
B.
leafShape
Indicates the characteristic form or outline of a leaf that an entity possesses or exhibits.
-
C.
leafPoints
Indicates that one leaf or leaf-like structure is oriented or directed toward, or points at, another entity.
-
D.
leafProperty
Indicates that the subject has a property that is terminal (i.e., not further decomposed into sub-properties) within a property hierarchy or structure.
-
E.
leaves
Indicates that an entity departs from or goes away from another entity, location, or situation.
- 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6073a39408190994ac1c8983a7c0b |
completed | May 2, 2026, 2:16 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 7:54 p.m.