Triple
T805549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merlin 1A |
E17423
|
entity |
| Predicate | failureCauseOnFirstFlight |
P21234
|
FINISHED |
| Object | fuel leak and fire |
—
|
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: fuel leak and fire | Statement: [Merlin 1A, failureCauseOnFirstFlight, fuel leak and fire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: failureCauseOnFirstFlight Context triple: [Merlin 1A, failureCauseOnFirstFlight, fuel leak and fire]
-
A.
firstFlight
Indicates that the associated event or record corresponds to the earliest or initial flight taken or performed by the referenced entity.
-
B.
failedLaunches
Indicates that one or more attempts to launch something (e.g., a product, project, or mission) did not succeed.
-
C.
missionFailure
Indicates that an attempted mission or operation did not achieve its intended objectives or outcome.
-
D.
firstFlightPayload
Indicates that the object is the payload carried on an entity’s first flight.
-
E.
landingMethodFirstStage
Indicates the method by which the first stage of a launch vehicle returns and lands after separation.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ace495348190aec66f35ea90bc89 |
completed | March 1, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69a4aa70973c8190adbf08302d1103a9 |
completed | March 1, 2026, 9:06 p.m. |
| PDg | Predicate description generation | batch_69a4ace369b481908ad69de6de99f5e6 |
completed | March 1, 2026, 9:17 p.m. |
Created at: March 1, 2026, 7:38 p.m.