Triple
T1749867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelonia mydas |
E38414
|
entity |
| Predicate | nestingHabitat |
P4274
|
FINISHED |
| Object | sandy beaches |
—
|
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: sandy beaches | Statement: [Chelonia mydas, nestingHabitat, sandy beaches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nestingHabitat Context triple: [Chelonia mydas, nestingHabitat, sandy beaches]
-
A.
nestLocation
chosen
Indicates the place or environment where an animal or organism builds or maintains its nest.
-
B.
simulatesHabitatOf
Indicates that one entity artificially recreates or models the living conditions or environment characteristic of another entity’s natural habitat.
-
C.
featuresHabitat
Indicates that something includes or provides a particular habitat as part of its characteristics or environment.
-
D.
reproductiveHabitat
Indicates the type of environment or location where an organism carries out its reproductive activities or where its offspring develop.
-
E.
nestType
Indicates the type or kind of nest associated with or used by an entity.
- 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_69a8862bdb2081908aefe831c8aa8017 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab630e7d008190a8c673665d9672bb |
completed | March 6, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69aa61c5a18481909bc49e0c54d64314 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.