Triple
T9324024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camelus bactrianus |
E224340
|
entity |
| Predicate | fatStorage |
P87515
|
FINISHED |
| Object | stores fat in humps |
—
|
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: stores fat in humps | Statement: [Camelus bactrianus, fatStorage, stores fat in humps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fatStorage Context triple: [Camelus bactrianus, fatStorage, stores fat in humps]
-
A.
fatColor
Indicates the color characteristic associated with an entity’s fat or fatty tissue.
-
B.
typicalFatUsed
Indicates that a particular type of fat is commonly or characteristically used in a given context or application.
-
C.
typicalFatContent
Indicates the usual or characteristic amount of fat contained in something, such as a food or product.
-
D.
fattyAcid
Indicates a relationship where one entity is a fatty acid component, derivative, or participant in a process involving another entity.
-
E.
البطن
Indicates a relationship where something is located in, contained within, or belongs to the inner part or core (literal or figurative) of something else.
- 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_69ca8426d48481909596360f7791c7dd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd36f5c41c81908104c5b30e14827e |
completed | April 1, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cc7a643924819097f01144734901cf |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:38 p.m.