Triple
T3975530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini 6A |
E85630
|
entity |
| Predicate | rendezvousDistance |
P7750
|
FINISHED |
| Object | approximately 0.3 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: approximately 0.3 meters | Statement: [Gemini 6A, rendezvousDistance, approximately 0.3 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rendezvousDistance Context triple: [Gemini 6A, rendezvousDistance, approximately 0.3 meters]
-
A.
rendezvousProfile
Indicates a relationship where entities coordinate to meet at a specific place and time, often under predefined conditions or plans.
-
B.
numberOfDistances
Indicates the count of distinct distance values associated with or measured between entities in a given context.
-
C.
distance
chosen
Indicates the spatial separation or length between two points, objects, or locations.
-
D.
distanceCharacteristic
Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
-
E.
rendezvousAttemptResult
Indicates the outcome or status of an attempt by entities to meet or rendezvous with each other.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:33 p.m.