Triple
T7801890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caprimulgiformes |
E180450
|
entity |
| Predicate | eggNumber |
P79087
|
FINISHED |
| Object | typically 1 to 2 eggs per clutch |
—
|
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: typically 1 to 2 eggs per clutch | Statement: [Caprimulgiformes, eggNumber, typically 1 to 2 eggs per clutch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eggNumber Context triple: [Caprimulgiformes, eggNumber, typically 1 to 2 eggs per clutch]
-
A.
eggType
Indicates the specific category or kind of egg associated with an entity (e.g., its classification or type).
-
B.
eggDescription
Indicates that an entity provides a textual description or characterization of an egg.
-
C.
eggLaying
Indicates that one entity performs or is characterized by the action of laying eggs.
-
D.
eggIncubation
Indicates that one entity is keeping another (typically an egg) under suitable conditions for development until it hatches.
-
E.
eggGroup
Indicates the breeding compatibility category or group to which an organism belongs.
- 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_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. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:33 p.m.