Triple
T35724618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N1 lunar rocket program |
E1032571
|
entity |
| Predicate | testFlightDesignation |
P126048
|
FINISHED |
| Object | N1-3L |
—
|
NE NERFINISHED |
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: N1-3L | Statement: [N1 lunar rocket program, testFlightDesignation, N1-3L]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testFlightDesignation Context triple: [N1 lunar rocket program, testFlightDesignation, N1-3L]
-
A.
flightDesignation
chosen
Indicates the specific code or identifier assigned to a particular flight within an airline’s schedule or operations.
-
B.
testFlight
Indicates that an aircraft or spacecraft is being flown under controlled conditions to evaluate its performance, safety, or functionality before regular use.
-
C.
lastFlightDesignation
Indicates the specific flight identifier assigned to the most recent flight associated with an entity.
-
D.
airframerDesignation
Indicates the specific model or designation assigned to an aircraft by its manufacturing airframer.
-
E.
airlineFleetDesignation
Indicates the specific fleet or operational group within an airline to which an aircraft or service is assigned.
- 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_69f76e102b5881909e5d63a30a5cecbe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.