Triple
T5931583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuber melanosporum |
E131949
|
entity |
| Predicate | growsUnderground |
P42731
|
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: [Tuber melanosporum, growsUnderground, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: growsUnderground Context triple: [Tuber melanosporum, growsUnderground, true]
-
A.
growsIn
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
B.
growsOn
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to another entity.
-
C.
rhizoidType
Indicates the specific kind or category of rhizoid structure associated with an organism or anatomical feature.
-
D.
subterranean
chosen
Indicates that one entity is located beneath the surface of the ground or under another structure or area.
-
E.
hasRhizoids
Indicates that an organism possesses rhizoids, i.e., root-like structures used for anchorage or absorption.
- 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03c9239e08190bff7ef2bd6d21ae0 |
completed | March 22, 2026, 7:01 p.m. |
| PD | Predicate disambiguation | batch_69c033541d108190a34d1fde2fe9dacb |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4 p.m.