Triple
T25633024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Mots et les choses |
E642620
|
entity |
| Predicate | analyzesDiscipline |
P592
|
FINISHED |
| Object | biology |
—
|
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: biology | Statement: [Les Mots et les choses, analyzesDiscipline, biology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: analyzesDiscipline Context triple: [Les Mots et les choses, analyzesDiscipline, biology]
-
A.
governingDiscipline
Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
-
B.
featuredDiscipline
Indicates that one discipline is highlighted or given special prominence in relation to another entity or context.
-
C.
typeDiscipline
Indicates that an entity is associated with, categorized under, or characterized by a particular discipline or field of study.
-
D.
disciplineLevel
Indicates the degree or strictness of control, order, or self-regulation applied in a given context or relationship.
-
E.
associatedWithDiscipline
chosen
Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
- 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_69e77e7bd4548190a0c691b8a2f27ff1 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa5ed46081909187da61c7842830 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 5:19 p.m.