Triple
T30570456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta Quadrant |
E778107
|
entity |
| Predicate | conflictThemes |
P163904
|
FINISHED |
| Object | survival far from home |
—
|
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: survival far from home | Statement: [Delta Quadrant, conflictThemes, survival far from home]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictThemes Context triple: [Delta Quadrant, conflictThemes, survival far from home]
-
A.
conflictTopic
chosen
Indicates that the entities are in conflict specifically regarding the referenced topic or issue.
-
B.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
C.
politicalConflict
Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
-
D.
exploresConflictBetween
Indicates a relationship where one entity examines, analyzes, or delves into the tensions, disagreements, or opposing forces involving another entity or set of entities.
-
E.
causeOfPoliticalConflict
Indicates that one entity is the source or reason for a political conflict involving another entity.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 8:22 p.m.