Triple
T25741937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | general broni |
E648241
|
entity |
| Predicate | comparativeRankInUK |
P110883
|
FINISHED |
| Object | lieutenant general (UK) |
—
|
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: lieutenant general (UK) | Statement: [general broni, comparativeRankInUK, lieutenant general (UK)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparativeRankInUK Context triple: [general broni, comparativeRankInUK, lieutenant general (UK)]
-
A.
comparativeRankInUS
Indicates the relative ranking or position of an entity within the United States compared to other entities of the same type.
-
B.
hasPopulationRankInUK
Indicates the relative position of an entity’s population size compared to other entities within the United Kingdom.
-
C.
UCLARanking
Indicates a ranking relationship that orders entities based on their position or standing within the context of UCLA (e.g., programs, departments, or individuals associated with the university).
-
D.
comparableInternationalRank
Indicates that two entities have international rankings that can be meaningfully compared to each other.
-
E.
rankInCountry
chosen
Indicates the position or standing of an entity within a specific country according to some ranking or ordered criterion.
- 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_69e7ab306eec8190b05c312c6ab186b8 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 22, 2026, 3:45 a.m.