Triple
T10778342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S2W nuclear reactor |
E254251
|
entity |
| Predicate | firstOperationalUseApproximate |
P13819
|
FINISHED |
| Object | mid-1950s |
—
|
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: mid-1950s | Statement: [S2W nuclear reactor, firstOperationalUseApproximate, mid-1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOperationalUseApproximate Context triple: [S2W nuclear reactor, firstOperationalUseApproximate, mid-1950s]
-
A.
firstOperationalUse
chosen
Indicates the point in time or context when something is used operationally for the very first time.
-
B.
firstCombatUseDate
Indicates the date on which something (typically a weapon, system, or tactic) was first used in actual combat.
-
C.
firstOfficialUse
Indicates the earliest point in time when something was formally or officially put into use.
-
D.
firstHistoricalUse
Indicates that the subject entity represents the earliest known or recorded instance of the object entity being used or occurring in history.
-
E.
historicalPeriodOfFirstUse
Indicates the historical time period during which something was first used or came into use.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c25478819093dedec0c8556777 |
completed | April 9, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.