Triple
T29375065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Atlantis |
E744969
|
entity |
| Predicate | conflictsInvolvedViaHolder |
P171053
|
FINISHED |
| Object | surface world vs Atlantis conflicts |
—
|
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 conflicts | Statement: [Queen of Atlantis, conflictsInvolvedViaHolder, surface world vs Atlantis conflicts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictsInvolvedViaHolder Context triple: [Queen of Atlantis, conflictsInvolvedViaHolder, surface world vs Atlantis conflicts]
-
A.
conflictsOccurIn
Indicates that one or more conflicts take place within, or are situated in, a specified context, location, or setting.
-
B.
conflictsCovered
Indicates that the conflicts or disputes between the involved entities have been addressed or are included within a specified agreement, scope, or coverage.
-
C.
numberOfConflicts
Indicates the count of distinct conflicts associated with or involving a given entity or situation.
-
D.
hasPartOfConflict
Indicates that one conflict includes another conflict as a constituent or subordinate part of it.
-
E.
conflictsAwardedIn
Indicates that an award or recognition was given in the context of a specific conflict or set of conflicts.
- F. None of above. chosen
Provenance (4 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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f698ad83a08190a6834056ccc3e3a4 |
completed | May 3, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f697e92e2c8190bed50d5ba0981b64 |
completed | May 3, 2026, 12:33 a.m. |
Created at: April 28, 2026, 2:30 p.m.