Triple
T38164339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Chief of Staff |
E953102
|
entity |
| Predicate | canBeFoundInCountryType |
P174617
|
FINISHED |
| Object | sovereign state |
—
|
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: sovereign state | Statement: [Army Chief of Staff, canBeFoundInCountryType, sovereign state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeFoundInCountryType Context triple: [Army Chief of Staff, canBeFoundInCountryType, sovereign state]
-
A.
existsInCountry
chosen
Indicates that an entity is located within or occurs inside the geographical boundaries of a specified country.
-
B.
discoveredInCountry
Indicates that something was discovered within the geographical boundaries or jurisdiction of a specified country.
-
C.
meetsInCountry
Indicates that two or more entities have an in-person meeting that takes place within the specified country.
-
D.
hasPartInCountry
Indicates that an entity has a component, section, or portion that is located within a specified country.
-
E.
presentInCountries
Indicates that the subject entity exists, operates, or is available within the specified 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_69f76f0b93c48190a117319ab3a9f282 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ffab5adf2c819084700c5ea34615bf |
completed | May 9, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69ffaabffa208190b5214ca17cc8a5ea |
completed | May 9, 2026, 9:44 p.m. |
Created at: May 3, 2026, 4:21 p.m.