Triple
T18934268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aruna |
E463198
|
entity |
| Predicate | causeOfDeformity |
P694
|
FINISHED |
| Object | premature hatching from egg |
—
|
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: premature hatching from egg | Statement: [Aruna, causeOfDeformity, premature hatching from egg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfDeformity Context triple: [Aruna, causeOfDeformity, premature hatching from egg]
-
A.
hasDeformation
Indicates that one entity exhibits or is characterized by a physical or structural deformation associated with another entity or condition.
-
B.
congenitalFormAffects
Indicates that a congenital (present at birth) form or condition has an influence or impact on another related entity or outcome.
-
C.
deformationFeatures
Indicates the presence or characteristics of structural changes or distortions (such as folds, faults, or warps) affecting an object or material.
-
D.
causeOfDisability
Indicates that one entity is the reason or source that brings about another entity’s disability.
-
E.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e57e648190aa4d3b09e84d4d38 |
completed | April 20, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 11:59 a.m.