Triple
T5143702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Federation of Planets |
E116018
|
entity |
| Predicate | foundingMembers |
P446
|
FINISHED |
| Object | Andoria |
E498101
|
NE 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: Andoria | Statement: [United Federation of Planets, foundingMembers, Andoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andoria Context triple: [United Federation of Planets, foundingMembers, Andoria]
-
A.
Andoria
chosen
Andoria is a frigid, ice-covered homeworld of the blue-skinned, antennaed Andorians and one of the principal founding members of the United Federation of Planets in the Star Trek universe.
-
B.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
C.
Angria
Angria was a historical region that formed one of the main parts of the medieval Duchy of Saxony in what is now northern Germany.
-
D.
Cyndia
Cyndia is an alternative given name or spelling derived from the name Cynthia.
-
E.
Wadska
Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd4446c0e08190a7c29dc74976bf03 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7883004881909c763da818d9b6e2 |
completed | March 20, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed920e650819097d8b74fe8b8966a |
completed | March 21, 2026, 5:45 p.m. |
Created at: March 20, 2026, 1:43 p.m.