Triple
T30674033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Atlantis |
E780864
|
entity |
| Predicate | conflictsInvolvingTitle |
P5022
|
FINISHED |
| Object | surface world vs Atlantis tensions |
—
|
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: surface world vs Atlantis tensions | Statement: [King of Atlantis, conflictsInvolvingTitle, surface world vs Atlantis tensions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictsInvolvingTitle Context triple: [King of Atlantis, conflictsInvolvingTitle, surface world vs Atlantis tensions]
-
A.
conflictsInvolvedIn
Indicates that an entity participates as a party or actor in one or more conflicts.
-
B.
involvesTitle
Indicates that the relationship or action includes or makes reference to a specific title (such as a role, honorific, or formal designation).
-
C.
notableConflictWith
Indicates a significant, recognized conflict or dispute that exists or has existed between the related entities.
-
D.
titleContestedIn
Indicates that a particular title or championship is being challenged or competed for within a specific event, match, or context.
-
E.
mainConflict
chosen
Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a7bdb481908d16a32f49e38c2c |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 29, 2026, 8:32 p.m.