Triple
T27562621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenderal Besar |
E695812
|
entity |
| Predicate | similarRankInOtherCountries |
P59024
|
FINISHED |
| Object | General of the Army (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: General of the Army (United States) | Statement: [Jenderal Besar, similarRankInOtherCountries, General of the Army (United States)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: similarRankInOtherCountries Context triple: [Jenderal Besar, similarRankInOtherCountries, General of the Army (United States)]
-
A.
rankingInCountry
Indicates the position or level an entity holds within an ordered list specific to a particular country.
-
B.
rankInCountry
Indicates the position or standing of an entity within a specific country according to some ranking or ordered criterion.
-
C.
relatedRanking
Indicates a relationship where one item’s ranking is connected to or influenced by another item’s ranking.
-
D.
comparableInternationalRank
chosen
Indicates that two entities have international rankings that can be meaningfully compared to each other.
-
E.
relativeImportanceInCountry
Indicates the comparative significance or priority of something within the context of a specific country.
- 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_69ef53891af88190a193c5e2a1dac9b1 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62fbaa3388190b23c631f5c39ef06 |
completed | May 2, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 1:40 p.m.