Triple
T28904842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London, Airstrip One |
E733043
|
entity |
| Predicate | governingPartyInFiction |
P42585
|
FINISHED |
| Object | the Party |
—
|
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: the Party | Statement: [London, Airstrip One, governingPartyInFiction, the Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governingPartyInFiction Context triple: [London, Airstrip One, governingPartyInFiction, the Party]
-
A.
politicalPartyInFiction
Indicates that a political party appears or operates within a fictional work or fictional universe.
-
B.
politicalAffiliationInFiction
Indicates a fictional character’s association or alignment with a political party, ideology, or movement within a narrative work.
-
C.
hasFictionalPartyPlatform
Indicates that an entity (such as a fictional political party) is associated with a specific, imagined party platform outlining its policies, positions, or agenda within a fictional context.
-
D.
governingPartyOfState
chosen
Indicates that a particular political party holds the primary governing authority over a given state.
-
E.
polityInFictionalWorld
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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: April 28, 2026, 8:06 a.m.