Triple
T2721647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultan al-Atrash |
E60092
|
entity |
| Predicate | militaryRankOrRole |
P9463
|
FINISHED |
| Object | guerrilla leader |
—
|
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: guerrilla leader | Statement: [Sultan al-Atrash, militaryRankOrRole, guerrilla leader]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryRankOrRole Context triple: [Sultan al-Atrash, militaryRankOrRole, guerrilla leader]
-
A.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
-
B.
militaryRole
chosen
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
C.
militaryRankOfPrecedence
Indicates the relative seniority or priority order of a military rank compared to other ranks.
-
D.
militaryRankStructureBasedOn
Indicates that one military rank structure is organized, modeled, or defined according to another specified system or framework of ranks.
-
E.
highestNonCommissionedRank
Indicates that the subject holds the top position among all non-commissioned ranks within a given hierarchy or organization.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab1cb808190b0789c76bc9cb090 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.