Triple
T16841539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felpersham |
E409423
|
entity |
| Predicate | hasTypeOfGovernmentInFiction |
P220
|
FINISHED |
| Object | local city council |
—
|
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: local city council | Statement: [Felpersham, hasTypeOfGovernmentInFiction, local city council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfGovernmentInFiction Context triple: [Felpersham, hasTypeOfGovernmentInFiction, local city council]
-
A.
polityInFictionalWorld
Indicates that a political entity exists within, or is part of, a fictional world or universe.
-
B.
governedByFictional
Indicates that one entity is under the rule, control, or authority of another entity that is fictional or exists only in an imagined context.
-
C.
typeOfGovernmentAfter
Indicates the form of government that exists or is established in a place following a specified event or time period.
-
D.
hasFormOfGovernmentContext
Indicates that an entity has a particular form of government specifically within a given contextual scope (such as a time period, jurisdiction, or situation).
-
E.
governmentType
chosen
Indicates the form or system of governance under which an entity (such as a country or organization) is organized and ruled.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.