Triple
T19028444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitroplateia Beach |
E465670
|
entity |
| Predicate | hasOrganizationLevel |
P2393
|
FINISHED |
| Object | organized beach |
—
|
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: organized beach | Statement: [Kitroplateia Beach, hasOrganizationLevel, organized beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrganizationLevel Context triple: [Kitroplateia Beach, hasOrganizationLevel, organized beach]
-
A.
hasOrganLevelOrganization
Indicates that an entity possesses a level of biological organization in which distinct organs are present and functionally integrated.
-
B.
organizationalLevelBelow
Indicates that one organization or unit operates at a lower hierarchical level than another within the same organizational structure.
-
C.
hasFacilityLevel
Indicates the degree or tier of capability, service, or infrastructure that a particular facility possesses.
-
D.
hasTissueLevelOrganization
Indicates that an entity possesses a structural organization composed of multiple tissues arranged into functional units.
-
E.
hasLevel
chosen
Indicates that an entity possesses or is associated with a particular degree, rank, or stage within an ordered scale or hierarchy.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d73ec9088190a98e214bd56e8622 |
completed | April 20, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69e4a2fd80c081908237317a3a883e1c |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:02 p.m.