Triple
T28908172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASCOD |
E733143
|
entity |
| Predicate | firstPrototypeCompleted |
P108642
|
FINISHED |
| Object | 1991 |
—
|
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: 1991 | Statement: [ASCOD, firstPrototypeCompleted, 1991]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPrototypeCompleted Context triple: [ASCOD, firstPrototypeCompleted, 1991]
-
A.
prototypeCompleted
Indicates that the creation and initial functional implementation of a prototype has been finished.
-
B.
developedAsPrototypeFor
Indicates that one entity was created in an initial or experimental form specifically to test or serve as a preliminary version for another entity.
-
C.
firstProduction
Indicates that an entity is the earliest or initial production or manufactured instance associated with another entity.
-
D.
firstPrototypeYear
chosen
Indicates the year in which the first prototype of an entity was created or completed.
-
E.
firstMajorProduction
Indicates that an entity is the earliest significant or primary production (such as a film, play, or large-scale work) associated with 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
Created at: April 28, 2026, 8:09 a.m.