Triple
T5007477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magellanic Stream |
E112531
|
entity |
| Predicate | potentialRole |
P28456
|
FINISHED |
| Object | future fuel for star formation in Milky Way |
—
|
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: future fuel for star formation in Milky Way | Statement: [Magellanic Stream, potentialRole, future fuel for star formation in Milky Way]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potentialRole Context triple: [Magellanic Stream, potentialRole, future fuel for star formation in Milky Way]
-
A.
possibleRole
chosen
Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
-
B.
plannedRole
Indicates that an entity is expected or intended to assume a particular role or function in a planned or future context.
-
C.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
D.
creativeRole
Indicates that an entity holds a specific creative function or responsibility in relation to another entity, such as a work or project.
-
E.
roleInText
Indicates that an entity participates in a text with a specific function or capacity (e.g., author, editor, character).
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.