Triple
T7802332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amniota |
E180459
|
entity |
| Predicate | eggEnvironment |
P853
|
FINISHED |
| Object | can develop on land |
—
|
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: can develop on land | Statement: [Amniota, eggEnvironment, can develop on land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eggEnvironment Context triple: [Amniota, eggEnvironment, can develop on land]
-
A.
launchEnvironment
Indicates the specific context, configuration, or setting in which a launch or deployment action takes place.
-
B.
eggType
Indicates the specific category or kind of egg associated with an entity (e.g., its classification or type).
-
C.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
D.
eggGroup
Indicates the breeding compatibility category or group to which an organism belongs.
-
E.
builtEnvironment
Indicates that something is part of, related to, or characteristic of human-made physical surroundings such as buildings, infrastructure, and other constructed spaces.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78a6d88819093f83528fe88b182 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae9111b2481909684a2d4aa4831c2 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:33 p.m.