Triple
T10999958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mobile Base System |
E259978
|
entity |
| Predicate | canTranslateAlong |
P96568
|
FINISHED |
| Object | Integrated Truss Structure |
—
|
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: Integrated Truss Structure | Statement: [Mobile Base System, canTranslateAlong, Integrated Truss Structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canTranslateAlong Context triple: [Mobile Base System, canTranslateAlong, Integrated Truss Structure]
-
A.
translationDirection
Indicates the source and target languages involved in a translation, specifying the direction from the original language to the translated language.
-
B.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
C.
translationOn
Indicates that one entity is a translation of another entity, typically expressing the same content in a different language or linguistic form.
-
D.
laterTranslatedAs
Indicates that something was translated at a later time into a different language, form, or version under a specified title or expression.
-
E.
hasTranslated
Indicates that one entity has rendered the content of another entity from one language into a different language.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d5457c819096630246fa5f7076 |
completed | April 9, 2026, 12:08 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:25 p.m.