Triple
T12669794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El-Aurian |
E302646
|
entity |
| Predicate | relationshipToFederation |
P50945
|
FINISHED |
| Object | some individuals became Federation citizens |
—
|
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: some individuals became Federation citizens | Statement: [El-Aurian, relationshipToFederation, some individuals became Federation citizens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToFederation Context triple: [El-Aurian, relationshipToFederation, some individuals became Federation citizens]
-
A.
relationshipToState
chosen
Indicates a relationship or connection that an entity has with a particular state or governmental body.
-
B.
identityRelation
Indicates that two entities are in fact the very same entity, not merely similar or equivalent.
-
C.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
D.
relationshipEnd
Indicates that a previously existing relationship between entities has been terminated or has come to an end.
-
E.
relationshipToARP
Indicates a specified type of relationship or association that an entity has to an ARP (which may represent a particular person, program, plan, or reference point).
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:20 p.m.