Triple
T30943090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capital Knot City |
E788314
|
entity |
| Predicate | governmentInFiction |
P82060
|
FINISHED |
| Object | United Cities of America |
—
|
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: United Cities of America | Statement: [Capital Knot City, governmentInFiction, United Cities of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentInFiction Context triple: [Capital Knot City, governmentInFiction, United Cities of America]
-
A.
inGovernment
Indicates that an entity holds a position or role within a governmental body or institution.
-
B.
government1
Indicates that one entity functions as the governing authority or administration over another entity.
-
C.
countryGovernment
Indicates the type or form of government that exercises authority over a given country.
-
D.
government2
Indicates a relationship where an entity serves as or functions as the governing authority or administrative body over another entity.
-
E.
polityInFictionalWorld
chosen
Indicates that a political entity exists within, or is part of, a fictional world or universe.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff9e91bba08190af04b31ad815b13a |
completed | May 9, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69ff9e00e4808190bde8f07e6519a72c |
completed | May 9, 2026, 8:50 p.m. |
Created at: April 29, 2026, 8:53 p.m.