Triple
T38092675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Columbus Laboratory Module |
E951153
|
entity |
| Predicate | hasRackLocation |
P196237
|
FINISHED |
| Object | 10 International Standard Payload Racks |
—
|
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: 10 International Standard Payload Racks | Statement: [Columbus Laboratory Module, hasRackLocation, 10 International Standard Payload Racks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRackLocation Context triple: [Columbus Laboratory Module, hasRackLocation, 10 International Standard Payload Racks]
-
A.
hasPhysicalLocationType
Indicates that an entity is associated with a specific kind or category of physical location (e.g., building type, facility type, or place type).
-
B.
hasPrimaryAssetLocation
Indicates that an entity’s main or principal asset is located at a specified place or facility.
-
C.
isPhysicalLocation
Indicates that one entity serves as a physical, real-world place or site associated with another entity.
-
D.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
-
E.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
- 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
| PDg | Predicate description generation | batch_69fe1639613c8190aaf1b4c8e2d861ba |
completed | May 8, 2026, 4:58 p.m. |
Created at: May 3, 2026, 4:21 p.m.