Triple
T29942536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iron Patriot armor (MCU) |
E760536
|
entity |
| Predicate | countryBranding |
P16977
|
FINISHED |
| Object | United States of America |
—
|
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 of America | Statement: [Iron Patriot armor (MCU), countryBranding, United States of America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryBranding Context triple: [Iron Patriot armor (MCU), countryBranding, United States of America]
-
A.
brandingRegion
Indicates the geographic or market area in which a particular brand identity, presentation, or strategy is applied or recognized.
-
B.
countrySigned
Indicates that a country has formally signed or entered into an agreement, treaty, or document.
-
C.
countryPlanned
Indicates that a country has planned or scheduled a particular action, event, or arrangement involving another entity.
-
D.
countryLoyalty
Indicates a relationship where an entity shows allegiance, devotion, or faithful support to a particular country.
-
E.
brandNationality
chosen
Indicates that a brand is associated with or originates from a particular country or nationality.
- 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_69f22463f3648190a603c3ff305c660b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: April 29, 2026, 6:23 p.m.