Triple
T131099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Formation of Vegetable Mould through the Action of Worms |
E2654
|
entity |
| Predicate | DarwinWorkNumber |
P6881
|
FINISHED |
| Object | one of Darwin's last books |
—
|
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: one of Darwin's last books | Statement: [The Formation of Vegetable Mould through the Action of Worms, DarwinWorkNumber, one of Darwin's last books]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DarwinWorkNumber Context triple: [The Formation of Vegetable Mould through the Action of Worms, DarwinWorkNumber, one of Darwin's last books]
-
A.
numberOfColonies
Indicates the count of distinct colonies associated with or possessed by a given entity.
-
B.
monarchNumber
Indicates the ordinal position or sequence number assigned to a monarch within a line of rulers.
-
C.
numberBuilt
Indicates the total count of items or structures that have been constructed or produced.
-
D.
earliestKnownAncestor
Indicates that one entity is the most distant (oldest) known ancestor in the lineage of another entity.
-
E.
deweyDecimalClassification
Indicates the Dewey Decimal System classification assigned to an item, expressing its subject-based placement within a library’s organizational scheme.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a25855baf48190a1b63f2e5865d957 |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2564edb488190974dc00eb9ac37d9 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2585408c881908a25b5c61f300154 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.