Triple
T31246810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1967–1970 |
E796705
|
entity |
| Predicate | containsMaterialFromYears |
P137162
|
FINISHED |
| Object | 1967–1970 |
—
|
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: 1967–1970 | Statement: [1967–1970, containsMaterialFromYears, 1967–1970]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMaterialFromYears Context triple: [1967–1970, containsMaterialFromYears, 1967–1970]
-
A.
containsMaterialFromPeriod
chosen
Indicates that something includes material originating from or associated with a specified historical or temporal period.
-
B.
containsWorksFromYear
Indicates that something (such as a collection, exhibition, or compilation) includes works that were created in a specified year.
-
C.
eraOfOriginalMaterial
Indicates the historical time period during which the original material associated with an entity was created or produced.
-
D.
hasPartInYear
Indicates that something includes or contains a specific part, component, or segment that is associated with a particular year.
-
E.
includesReworkedMaterialFrom
Indicates that one entity incorporates or is derived from modified, revised, or otherwise reworked material originating in another entity.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff64b957bc81908afbc5914234a8ea |
completed | May 9, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69ff6446593c81909173e296eea2590c |
completed | May 9, 2026, 4:43 p.m. |
Created at: April 29, 2026, 9:11 p.m.