Triple
T36494059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-102 |
E899129
|
entity |
| Predicate | moduleDelivered |
P1386
|
FINISHED |
| Object | Leonardo Multi-Purpose Logistics Module |
—
|
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: Leonardo Multi-Purpose Logistics Module | Statement: [STS-102, moduleDelivered, Leonardo Multi-Purpose Logistics Module]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moduleDelivered Context triple: [STS-102, moduleDelivered, Leonardo Multi-Purpose Logistics Module]
-
A.
deliveredAs
Indicates that something is provided, transmitted, or presented in a particular form, manner, or role.
-
B.
delivered
chosen
Indicates that something has been brought or transported to a recipient or destination, typically completing a transfer or fulfillment of an order, message, or service.
-
C.
hasDeliverable
Indicates that one entity is associated with, responsible for, or produces a specific deliverable.
-
D.
deliveredIntoHandsOf
Indicates that something is physically transferred or formally handed over into the possession or control of a specified recipient.
-
E.
moduleActivated
Indicates that a specific module has been switched from an inactive to an active state and is currently operational.
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.