Triple
T11181058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Ignition Facility |
E264537
|
entity |
| Predicate | fullOperationsStartDate |
P53435
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [National Ignition Facility, fullOperationsStartDate, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fullOperationsStartDate Context triple: [National Ignition Facility, fullOperationsStartDate, 2009]
-
A.
fullOperationDate
chosen
Indicates the date on which an operation or process is fully carried out or becomes completely effective.
-
B.
operatorStartDate
Indicates the date on which an operator’s role, activity, or responsibility begins.
-
C.
effectivePeriodStart
Indicates the date and time when a specified condition, status, or agreement becomes valid or goes into effect.
-
D.
operatedSince
Indicates that an entity has been in operation continuously from a specified starting time or date.
-
E.
operatedAfter
Indicates that one operation or action occurred later in time than another specified operation or action.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a7f35481909f35feb94ef10e80 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.