Triple
T1054075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burmese python |
E22761
|
entity |
| Predicate | sensoryAdaptation |
P2375
|
FINISHED |
| Object | heat-sensing pits along the lips |
—
|
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: heat-sensing pits along the lips | Statement: [Burmese python, sensoryAdaptation, heat-sensing pits along the lips]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sensoryAdaptation Context triple: [Burmese python, sensoryAdaptation, heat-sensing pits along the lips]
-
A.
adaptation
Indicates a relationship where one entity changes or is modified to better suit, function within, or correspond to another entity or context.
-
B.
adaptationType
chosen
Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
-
C.
isFrequentlyAdapted
Indicates that a work or source material is often transformed or re-created into new formats or versions, such as films, plays, or other media.
-
D.
primarySense
Indicates that one sense or meaning of an entity is designated as its main or most central sense among possible alternatives.
-
E.
adaptationStatus
Indicates the current state or progress of how something has been adapted or adjusted in response to specific conditions, requirements, or contexts.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d669448190955507e2e4975b9f |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.