Triple
T10105804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dusky scrubfowl |
E216316
|
entity |
| Predicate | eggCare |
P92448
|
FINISHED |
| Object | no direct parental incubation by body heat |
—
|
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: no direct parental incubation by body heat | Statement: [dusky scrubfowl, eggCare, no direct parental incubation by body heat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eggCare Context triple: [dusky scrubfowl, eggCare, no direct parental incubation by body heat]
-
A.
eggType
Indicates the specific category or kind of egg associated with an entity (e.g., its classification or type).
-
B.
eggNumber
Indicates the specific count or identifier assigned to an individual egg within a set or sequence.
-
C.
eggGroup
Indicates the breeding compatibility category or group to which an organism belongs.
-
D.
eggDescription
Indicates that an entity provides a textual description or characterization of an egg.
-
E.
eggMimicry
Indicates that one entity’s eggs resemble those of another species closely enough to deceive the other species or its predators.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09dde888190bb550a3cd0b204fe |
completed | April 2, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4b9b853c8190a2af993ce9b21309 |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd5150ae98819086c4f822114b4e2c |
completed | April 1, 2026, 5:09 p.m. |
Created at: March 30, 2026, 9:03 p.m.