Triple
T1267646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Army Infantry School |
E15637
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
USAIS
USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
|
E144995
|
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: USAIS | Statement: [U.S. Army Infantry School, abbreviation, USAIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: USAIS Context triple: [U.S. Army Infantry School, abbreviation, USAIS]
-
A.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
B.
USAR
USAR is the commonly used abbreviation for the United States Army Reserve, the federal reserve force of the U.S. Army composed of part-time soldiers who support active-duty operations.
-
C.
US
US is the IATA airline designator code assigned to the former American airline US Airways.
-
D.
UA
UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
-
E.
UA
UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
- 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: USAIS Triple: [U.S. Army Infantry School, abbreviation, USAIS]
Generated description
USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: USAIS Target entity description: USAIS is the U.S. Army’s primary institution for training, educating, and developing infantry soldiers and leaders.
-
A.
USAB
USAB is the commonly used abbreviation for USA Basketball, the national governing body for basketball in the United States.
-
B.
USAR
USAR is the commonly used abbreviation for the United States Army Reserve, the federal reserve force of the U.S. Army composed of part-time soldiers who support active-duty operations.
-
C.
US
US is the IATA airline designator code assigned to the former American airline US Airways.
-
D.
UA
UA is the two-letter IATA airline designator used worldwide to identify United Airlines on tickets, schedules, and flight information.
-
E.
UA
UA is a major public research university located in Tuscaloosa, Alabama, known for its strong academic programs and prominent Crimson Tide athletics.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c0396e048190b4e2d7aab19268b3 |
completed | March 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac99898bdc8190bbbe28083b4a548b |
completed | March 7, 2026, 9:32 p.m. |
| NEDg | Description generation | batch_69ac9abcc2ec8190acdec5d7cbf42b42 |
completed | March 7, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac9b1ea9c48190ad1520f2f67111dd |
completed | March 7, 2026, 9:39 p.m. |
Created at: March 1, 2026, 7:50 p.m.