Triple
T17541745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | landing of Space Shuttle Columbia STS-3 |
E427214
|
entity |
| Predicate | landingSurfaceType |
P422
|
FINISHED |
| Object | gypsum runway |
—
|
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: gypsum runway | Statement: [landing of Space Shuttle Columbia STS-3, landingSurfaceType, gypsum runway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landingSurfaceType Context triple: [landing of Space Shuttle Columbia STS-3, landingSurfaceType, gypsum runway]
-
A.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
B.
homeGroundType
Indicates the type or category of venue that serves as an entity’s designated home ground.
-
C.
runwaySurface
chosen
Indicates the type or condition of the surface material that a runway is made of or covered with.
-
D.
surfaceTypeAround
Indicates the type or nature of the surface that surrounds or is immediately adjacent to a given entity.
-
E.
streetMaterial
Indicates the material composition from which a street or road surface is made.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4545e64448190a2a63bc13f549027 |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.