Triple
T31924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sociobiology: The New Synthesis |
E636
|
entity |
| Predicate | structure |
P130
|
FINISHED |
| Object | theoretical chapters and extensive species case studies |
—
|
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: theoretical chapters and extensive species case studies | Statement: [Sociobiology: The New Synthesis, structure, theoretical chapters and extensive species case studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structure Context triple: [Sociobiology: The New Synthesis, structure, theoretical chapters and extensive species case studies]
-
A.
shape
Indicates that one entity has a particular geometric or physical form characterized by the other entity.
-
B.
sentence
Indicates that one entity is a sentence that expresses, contains, or encodes information about another entity.
-
C.
format
chosen
Indicates the specific arrangement, structure, or presentation style in which something is organized or expressed.
-
D.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
E.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a249ec0d288190ac3a0939db61813b |
completed | Feb. 28, 2026, 1:50 a.m. |
| PD | Predicate disambiguation | batch_69a24870417081909c7c01e400c94716 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.