Triple
T34159365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evergreen-class container ships |
E876230
|
entity |
| Predicate | hasFlagState |
P160955
|
FINISHED |
| Object | various flag states |
—
|
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: various flag states | Statement: [Evergreen-class container ships, hasFlagState, various flag states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFlagState Context triple: [Evergreen-class container ships, hasFlagState, various flag states]
-
A.
isStateFlagOf
Indicates that one entity is the official state flag representing the specified state or region.
-
B.
hasFlagCountry
Indicates that a country is the one whose national flag is associated with or used by a given entity.
-
C.
hasFlagOrSymbol
chosen
Indicates that an entity possesses, uses, or is associated with a particular flag or symbolic emblem.
-
D.
hasPropertyFlag
Indicates that an entity possesses a specific property denoted by a particular flag or marker.
-
E.
hasMainOperatorFlagState
Indicates that an entity’s primary operator is associated with, or currently in, a specific flag-defined state.
- 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_69f349ac987481908a8e6053f665bc8b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:54 a.m.