Triple
T248173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | harpy eagle |
E5082
|
entity |
| Predicate | breedingInterval |
P8769
|
FINISHED |
| Object | approximately every 2 to 3 years |
—
|
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: approximately every 2 to 3 years | Statement: [harpy eagle, breedingInterval, approximately every 2 to 3 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: breedingInterval Context triple: [harpy eagle, breedingInterval, approximately every 2 to 3 years]
-
A.
reproductionType
Indicates the mode or method by which an organism reproduces or generates offspring.
-
B.
reproductiveType
Indicates the mode or strategy by which an organism reproduces or generates offspring.
-
C.
gestationPeriod
Indicates the length of time an organism develops in the womb or equivalent structure from conception to birth.
-
D.
reproductiveFeature
Indicates a relationship where an entity possesses or is characterized by a particular reproductive trait, structure, or capability.
-
E.
clutchSize
Indicates the number of offspring (e.g., eggs or young) produced by an organism in a single reproductive event.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d154ebc819087a5c9dc4f62ff44 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b64ea3081908de626a0e1445bdb |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c2ca46c81908c61696f31e59a98 |
completed | Feb. 28, 2026, 3:08 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.