Triple
T31610343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T2-SE-A1 |
E806606
|
entity |
| Predicate | operationalTheaters |
P710
|
FINISHED |
| Object | Atlantic Ocean |
—
|
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: Atlantic Ocean | Statement: [T2-SE-A1, operationalTheaters, Atlantic Ocean]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operationalTheaters Context triple: [T2-SE-A1, operationalTheaters, Atlantic Ocean]
-
A.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
B.
coordinatesMilitaryOperationsOf
Indicates having authority to plan, direct, and manage the military operations carried out by another entity.
-
C.
militaryTheater
chosen
Indicates that an entity is a geographic or operational area where military operations or campaigns are conducted.
-
D.
subjectOfMilitaryOperation
Indicates that an entity is the target, location, or focus of a specific military operation.
-
E.
militaryTheaterCovered
Indicates that a specified military theater or area of operations falls within the geographic or operational scope covered by another entity (such as a plan, command, or agreement).
- 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_69f348d61f2081908cad94bc9ffbb671 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ffb69812808190a751853b30183e65 |
completed | May 9, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69ffb63bdda88190a9dd8426dc0bad43 |
completed | May 9, 2026, 10:33 p.m. |
Created at: April 30, 2026, 10:36 p.m.