Triple
T32246140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain America chopper |
E823752
|
entity |
| Predicate | countryFlagReferenced |
P115717
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Captain America chopper, countryFlagReferenced, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryFlagReferenced Context triple: [Captain America chopper, countryFlagReferenced, United States]
-
A.
countryFlagType
Indicates the type or category of national flag associated with a given country.
-
B.
countryOfFlag
chosen
Indicates that a given country is the one represented by a specified flag.
-
C.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
D.
flagCode
Indicates the specific flag identifier or code associated with an entity, typically representing its national, regional, or organizational affiliation.
-
E.
flagshipCountry
Indicates that one country serves as the primary or leading representative location for an organization, initiative, or brand among multiple countries.
- 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_69f3490cdda88190a9d61e11252a771f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a0048697bd081909073640666ca6a96 |
completed | May 10, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_6a0047bf3c248190a9ac97a7afdfe2cb |
completed | May 10, 2026, 8:54 a.m. |
Created at: May 1, 2026, 12:40 a.m.