Triple
T8589628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesian Military Academy |
E203396
|
entity |
| Predicate | grantsRank |
P83740
|
FINISHED |
| Object | second lieutenant in the Indonesian Army |
—
|
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: second lieutenant in the Indonesian Army | Statement: [Indonesian Military Academy, grantsRank, second lieutenant in the Indonesian Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grantsRank Context triple: [Indonesian Military Academy, grantsRank, second lieutenant in the Indonesian Army]
-
A.
rankGrade
Indicates the grade or level assigned to an entity within a ranking or evaluation system.
-
B.
eligibleRank
Indicates that an entity meets the required rank or level criteria to qualify for a specific role, action, or benefit.
-
C.
awardOrRanking
Indicates that there is an award, honor, or ranking status conferred on or associated with an entity.
-
D.
rankStatus
Indicates the hierarchical level or position an entity holds within an ordered ranking or status system.
-
E.
electoralRankGrantedTo
Indicates that a specific electoral rank, title, or position is formally conferred upon a particular entity.
- F. None of above. chosen
Provenance (4 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46c5e8888190b721e791c449b0df |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454504448190aaad2af8b17357cd |
completed | March 31, 2026, 10:05 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:23 p.m.