Triple
T17141537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ta 152 series |
E415975
|
entity |
| Predicate | productionNumbers |
P2091
|
FINISHED |
| Object | limited production |
—
|
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: limited production | Statement: [Ta 152 series, productionNumbers, limited production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionNumbers Context triple: [Ta 152 series, productionNumbers, limited production]
-
A.
productionBy
Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
-
B.
approximateProductionNumber
Indicates that one entity specifies an estimated or non-exact quantity associated with the production output of another entity.
-
C.
totalProduction
Indicates the overall quantity of goods, services, or output produced by an entity or system over a specified period or within a defined scope.
-
D.
productionCode
Indicates the unique identifier or code assigned to a specific production (such as a film, TV episode, or manufactured item) that links related records or versions of that production.
-
E.
numberBuilt
chosen
Indicates the total count of items or structures that have been constructed or produced.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2d5de10819090cbd65661b018d3 |
completed | April 18, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e3830192ac819091344a9e5a36c8c9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:36 a.m.