Triple
T14536574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | royal palace of Zamunda |
E341057
|
entity |
| Predicate | hasFictionalGovernmentRole |
P67496
|
FINISHED |
| Object | seat of Zamundan monarchy |
—
|
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: seat of Zamundan monarchy | Statement: [royal palace of Zamunda, hasFictionalGovernmentRole, seat of Zamundan monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalGovernmentRole Context triple: [royal palace of Zamunda, hasFictionalGovernmentRole, seat of Zamundan monarchy]
-
A.
hasFictionalRole
Indicates that an entity plays or is assigned a specific role within a fictional work or narrative.
-
B.
hasFictionalLeader
chosen
Indicates that an entity is led or governed by a leader who is a fictional character rather than a real person.
-
C.
hasPoliticalRole
Indicates that an entity holds, has held, or is assigned a specific political office, function, or position in relation to another entity or context.
-
D.
hasNotablePoliticalRoleIn
Indicates that an entity holds or has held a significant political position, function, or influence within a specified context or jurisdiction.
-
E.
hasFictionalGovernmentAgency
Indicates that an entity includes, features, or is associated with a government agency that is fictional rather than real.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb1b9d39881908c7a3a5b17d432af |
completed | April 14, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69de5c546c7081909e27d504ec360c5c |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:22 a.m.