Triple
T11976445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-64 |
E285051
|
entity |
| Predicate | enteredMassProductionYear |
P60072
|
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: [T-64, enteredMassProductionYear, 1960s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredMassProductionYear Context triple: [T-64, enteredMassProductionYear, 1960s]
-
A.
modelProduced
Indicates that a particular model has generated or produced a specified output, result, or artifact.
-
B.
beganCommercialProduction
chosen
Indicates that an entity started producing something commercially, marking the commencement of its large-scale or market-oriented production.
-
C.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
D.
initialProductionEndDate
Indicates the date on which the initial phase or run of production for something comes to an end.
-
E.
firstProducedAt
Indicates the location or context where something was originally created, manufactured, or brought into existence for the first time.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903acbb9081908fe7f8360057785c |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902abca70819098291aa51b593708 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.