Triple
T28717023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pathfinder lander |
E729986
|
entity |
| Predicate | usedEntrySystem |
P8459
|
FINISHED |
| Object | aeroshell |
—
|
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: aeroshell | Statement: [Pathfinder lander, usedEntrySystem, aeroshell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedEntrySystem Context triple: [Pathfinder lander, usedEntrySystem, aeroshell]
-
A.
usesEntrySystem
Indicates that an entity operates or interacts through a particular entry or access control system.
-
B.
entryFor
Indicates that one entity serves as the specific record, representation, or listing corresponding to another entity.
-
C.
usedBySystem
chosen
Indicates that something is utilized or operated by a particular system.
-
D.
usedAdministrativeSystemOf
Indicates that one entity made use of another entity’s administrative system to perform or manage its administrative functions.
-
E.
systemEntry
Indicates that an entity is being recorded, registered, or introduced into a particular system or structured environment.
- 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_69f043e7d5a4819094b18aca10b1e024 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651ac855481908e30c3b345d31356 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 5:51 a.m.