Triple
T3818784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millennium Falcon |
E84320
|
entity |
| Predicate | hyperdriveRating |
P52451
|
FINISHED |
| Object | 0.5 past lightspeed (Class 0.5) |
—
|
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: 0.5 past lightspeed (Class 0.5) | Statement: [Millennium Falcon, hyperdriveRating, 0.5 past lightspeed (Class 0.5)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hyperdriveRating Context triple: [Millennium Falcon, hyperdriveRating, 0.5 past lightspeed (Class 0.5)]
-
A.
hasHighRatingOn
Indicates that one entity is evaluated or reviewed on another entity’s platform or system with a rating that meets or exceeds a defined high threshold.
-
B.
aidRating
Indicates the assessed level or quality of assistance or support provided in a given context.
-
C.
rating
Indicates an evaluation relationship where one entity assigns a qualitative or quantitative score or judgment to another entity.
-
D.
ratingDescription
Indicates the textual explanation or qualitative summary associated with a given rating or score.
-
E.
capacityRank
Indicates the relative ordering of entities based on how much capacity (e.g., volume, throughput, or capability) they possess compared to others.
- 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_69aed931f5908190be2c07af66d4df25 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee74a2bc081909b237df8b1e27653 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef18748648190b85e62f7796ff4b4 |
completed | March 9, 2026, 4:12 p.m. |
Created at: March 9, 2026, 3:17 p.m.