Triple
T1018479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boeing 727 |
E21985
|
entity |
| Predicate | primaryEraOfUse |
P4017
|
FINISHED |
| Object | 1960s |
—
|
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: 1960s | Statement: [Boeing 727, primaryEraOfUse, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryEraOfUse Context triple: [Boeing 727, primaryEraOfUse, 1960s]
-
A.
historicalPeriodOfUse
Indicates the time period during which something was in active use or commonly utilized.
-
B.
periodOfMajorUse
chosen
Indicates the time span during which something was primarily or most intensively used.
-
C.
historicallyUsedFor
Indicates that something served a particular function or purpose at some point in the past, even if it may no longer be used that way now.
-
D.
originalRunEra
Indicates the time period or era during which something (such as a show, series, or product) was first originally run or released.
-
E.
firstEraNameDerivedFrom
Indicates that the name of the first era associated with an entity is derived from, or based on, another specified source.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c6005081909d9e56114c532d14 |
completed | March 1, 2026, 10:03 p.m. |
| PD | Predicate disambiguation | batch_69a4b7238d4c8190b22d6c2ac0ac4911 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.