Triple
T6530961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Station Unit Training programs |
E152227
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
OSUT
OSUT is a U.S. Army training model that combines basic combat training and advanced individual training into a single continuous course conducted at one location.
|
E605172
|
NE FINISHED |
How this triple was built (4 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: OSUT | Statement: [One Station Unit Training programs, abbreviation, OSUT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OSUT Context triple: [One Station Unit Training programs, abbreviation, OSUT]
-
A.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
B.
OU
OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
-
C.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
D.
OSDBU
OSDBU is a U.S. federal government office that advocates for and oversees programs to ensure small and disadvantaged businesses have fair access to federal contracting opportunities.
-
E.
UTS
UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OSUT Triple: [One Station Unit Training programs, abbreviation, OSUT]
Generated description
OSUT is a U.S. Army training model that combines basic combat training and advanced individual training into a single continuous course conducted at one location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OSUT Target entity description: OSUT is a U.S. Army training model that combines basic combat training and advanced individual training into a single continuous course conducted at one location.
-
A.
OU
OU is a major public research university located in Norman, Oklahoma, known for its strong academic programs and prominent athletics, especially college football.
-
B.
OU
OU is the IATA airline designator assigned to Croatia Airlines, the national flag carrier of Croatia.
-
C.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
D.
OSDBU
OSDBU is a U.S. federal government office that advocates for and oversees programs to ensure small and disadvantaged businesses have fair access to federal contracting opportunities.
-
E.
UTS
UTS is a major Australian public research university in Sydney known for its industry-focused education and modern urban campus.
- F. None of above. chosen
Provenance (5 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adbcf820819097ca33a5fc14fd64 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52ca9988190addfdae6d7b53a6e |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6d9af148190ad9cd2cc31a70bb7 |
completed | March 27, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d98506b88190aae3b4d887744648 |
completed | March 27, 2026, 7:24 p.m. |
Created at: March 27, 2026, 1:46 p.m.