Triple
T19830996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long March 5 |
E476459
|
entity |
| Predicate | boosterDiameter |
P137485
|
FINISHED |
| Object | 3.35 meters |
—
|
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: 3.35 meters | Statement: [Long March 5, boosterDiameter, 3.35 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boosterDiameter Context triple: [Long March 5, boosterDiameter, 3.35 meters]
-
A.
boosterType
Indicates the specific kind or category of booster associated with an entity or action.
-
B.
boosterName
Indicates the name or designation assigned to a booster component associated with an entity or event.
-
C.
bodyDiameter
Indicates the measurement of how wide an object's body is across its broadest cross-section.
-
D.
fanDiameter
Indicates the size of a fan measured as the length of a straight line passing through its center from one edge to the opposite edge.
-
E.
impactorDiameter
Indicates the size of the object that impacts another body, typically measured as the diameter of the impacting body.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cd9b94819081a541bb6c5c2942 |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:50 p.m.