Triple
T36626473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SLF Runway 15 |
E904180
|
entity |
| Predicate | hasAssociationWithProgram |
P44188
|
FINISHED |
| Object | U.S. Space Shuttle program |
—
|
NE NERFINISHED |
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: U.S. Space Shuttle program | Statement: [SLF Runway 15, hasAssociationWithProgram, U.S. Space Shuttle program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssociationWithProgram Context triple: [SLF Runway 15, hasAssociationWithProgram, U.S. Space Shuttle program]
-
A.
belongsToProgram
Indicates that an entity is a member of, or is associated with, a specific program.
-
B.
hasParentProgram
Indicates that a given program is hierarchically contained within or derived from another, higher-level program that serves as its parent.
-
C.
hasProgramCode
Indicates that an entity is associated with a specific program identifier or code used to reference or classify it within a system.
-
D.
relatesToProgram
chosen
Indicates that one entity has a relevant connection, association, or involvement with a particular program.
-
E.
hasProgramme
Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
- 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_69f76e6ae750819096911e6e2d4d12c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd57ba740c8190bd1d40166fccccb7 |
completed | May 8, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69fd55ee82b881908a639da3a41b3af6 |
completed | May 8, 2026, 3:18 a.m. |
Created at: May 3, 2026, 4:11 p.m.