Triple
T758841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | class G – Geography, Anthropology, Recreation |
E16019
|
entity |
| Predicate | organizesMaterialType |
P19279
|
FINISHED |
| Object | monographs |
—
|
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: monographs | Statement: [class G – Geography, Anthropology, Recreation, organizesMaterialType, monographs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizesMaterialType Context triple: [class G – Geography, Anthropology, Recreation, organizesMaterialType, monographs]
-
A.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
B.
sourceMaterialType
Indicates the type or category of material from which something originates or is derived.
-
C.
organizesInto
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
D.
organizedAs
Indicates how elements are structured, arranged, or grouped according to a particular organizing principle or scheme.
-
E.
organizes
Indicates that one entity arranges, coordinates, or structures activities, items, or people into an ordered or planned form for a particular purpose.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a67f9778819098d3c144dd26b976 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a50348088190873a1446db657a78 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:37 p.m.