Triple
T28539243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief of the Joint Chiefs of Staff of the Armed Forces of Argentina |
E722247
|
entity |
| Predicate | hasConstituentService |
P40817
|
FINISHED |
| Object | land forces |
—
|
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: land forces | Statement: [Chief of the Joint Chiefs of Staff of the Armed Forces of Argentina, hasConstituentService, land forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConstituentService Context triple: [Chief of the Joint Chiefs of Staff of the Armed Forces of Argentina, hasConstituentService, land forces]
-
A.
hasConstituentServicesIn
Indicates that an entity provides constituent services within a specified geographic or jurisdictional area.
-
B.
hasSubService
chosen
Indicates that one service includes or is composed of another, more specific service as a subordinate or component part.
-
C.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
D.
hasServiceFrom
Indicates that one entity receives or benefits from a service provided by another entity.
-
E.
hasServiceDivision
Indicates that an entity includes or is organized into a specific service-oriented division or department.
- 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_69f01a5e42348190b1ffbca26e739c84 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
Created at: April 28, 2026, 3:34 a.m.