Triple
T3951625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chadic languages |
E84876
|
entity |
| Predicate | timeOfMajorClassification |
P16254
|
FINISHED |
| Object | mid 20th century |
—
|
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: mid 20th century | Statement: [Chadic languages, timeOfMajorClassification, mid 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfMajorClassification Context triple: [Chadic languages, timeOfMajorClassification, mid 20th century]
-
A.
timePeriodOfMajorImportance
chosen
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
B.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
C.
isConsideredMajorCategory
Indicates that something is regarded or classified as a primary or significant category within a given system or context.
-
D.
timePeriodOfMajorDestruction
Indicates the time span during which a major destructive event affecting the subject occurred.
-
E.
minorUnitToMajor
Indicates a conversion relationship where a quantity expressed in a smaller (minor) unit is translated into its corresponding amount in a larger (major) unit.
- 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_69aed934fbfc8190847068e4546de963 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa5afdc8190b709af2473d75d02 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8ed04e4819096bced8971cd888d |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:30 p.m.