Triple
T1972964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roman concrete |
E42841
|
entity |
| Predicate | researchSubjectOf |
P22069
|
FINISHED |
| Object | materials science |
—
|
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: materials science | Statement: [Roman concrete, researchSubjectOf, materials science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchSubjectOf Context triple: [Roman concrete, researchSubjectOf, materials science]
-
A.
researchTopic
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
B.
usesResearchSubject
chosen
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
C.
researchClassification
Indicates that an entity is assigned a specific category or type within a research-related classification scheme.
-
D.
researchUser
Indicates that an entity conducts research on, studies, or investigates a particular user.
-
E.
hasResearchArea
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f477988190b0165fc46b1cccfd |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.