Triple
T36045729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Histoire de l’homme |
E1042664
|
entity |
| Predicate | hasScientificApproach |
P26758
|
FINISHED |
| Object | empirical observation |
—
|
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: empirical observation | Statement: [Histoire de l’homme, hasScientificApproach, empirical observation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScientificApproach Context triple: [Histoire de l’homme, hasScientificApproach, empirical observation]
-
A.
hasScientificBasis
Indicates that something is supported, justified, or grounded by established scientific evidence, methods, or principles.
-
B.
hasScientificValue
Indicates that something possesses significance, usefulness, or merit within scientific research, understanding, or methodology.
-
C.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
-
D.
isScientific
chosen
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
E.
hasScientificReferences
Indicates that an entity is supported by, linked to, or documented through one or more scientific publications or references.
- 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:07 p.m.