Triple
T12366925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meals, Ready-to-Eat |
E294897
|
entity |
| Predicate | firstFielded |
P104802
|
FINISHED |
| Object | 1983 |
—
|
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: 1983 | Statement: [Meals, Ready-to-Eat, firstFielded, 1983]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstFielded Context triple: [Meals, Ready-to-Eat, firstFielded, 1983]
-
A.
primaryField
Indicates the main area of focus, discipline, or domain most centrally associated with an entity.
-
B.
firstWord
Indicates that one entity is the first word in the sequence or text associated with another entity.
-
C.
first
Indicates that one entity precedes all others in an ordered sequence or ranking.
-
D.
firstMessageFields
Indicates that the specified fields belong to or are associated with the first message in a sequence or conversation.
-
E.
firstOrdinary
Indicates that the subject is the first entity to hold or occupy an ordinary (non-special, standard) position, role, or status in a given sequence or context.
- F. None of above. chosen
Provenance (4 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d942a2d6e08190a13c7ff89af09354 |
completed | April 10, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69d93ecf6b548190a394b6b56a0c1c68 |
completed | April 10, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69d9429ff2bc8190b09adf8f57fad451 |
completed | April 10, 2026, 6:34 p.m. |
Created at: April 8, 2026, 9:54 p.m.