Triple
T34958058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haakonian Order |
E1008171
|
entity |
| Predicate | fictionalEthnopoliticalConflictWith |
P176713
|
FINISHED |
| Object | Talaxians |
—
|
NE NERFINISHED |
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: Talaxians | Statement: [Haakonian Order, fictionalEthnopoliticalConflictWith, Talaxians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalEthnopoliticalConflictWith Context triple: [Haakonian Order, fictionalEthnopoliticalConflictWith, Talaxians]
-
A.
fictionalConflict
chosen
Indicates a relationship where one fictional entity is in opposition, dispute, or struggle with another within a narrative context.
-
B.
ethnoPoliticalConflict
Indicates a relationship in which groups defined by ethnic identity are engaged in political struggle, tension, or violence against one another or against a governing authority.
-
C.
loreConflict
Indicates that there is an inconsistency, contradiction, or incompatibility between pieces of lore or canonical information.
-
D.
politicalConflict
Indicates a relationship where entities are engaged in opposing political positions, struggles, or disputes, often involving competition for power, influence, or policy outcomes.
-
E.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 3, 2026, 4 p.m.