Triple
T4127170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLIM |
E92752
|
entity |
| Predicate | landingPrecisionGoal |
P53985
|
FINISHED |
| Object | order of tens of 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: order of tens of meters | Statement: [SLIM, landingPrecisionGoal, order of tens of meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landingPrecisionGoal Context triple: [SLIM, landingPrecisionGoal, order of tens of meters]
-
A.
laterGoal
Indicates that one goal occurs or is intended to be achieved after another goal in time.
-
B.
landing
Indicates the action or event of an entity coming down from the air or a higher position to make controlled contact with a surface.
-
C.
targetLocation
Indicates the specific place or destination toward which an action, movement, or effect is directed.
-
D.
legacyGoal
Indicates that an entity has a long-term, enduring objective or impact it aims to leave behind beyond its immediate actions or existence.
-
E.
goalHorizon
Indicates the temporal or planning horizon within which a goal is intended to be pursued or achieved.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af01883b6c8190a482ead589a131a5 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:42 p.m.