Triple
T3367590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3rd Battalion, 5th Marines |
E70873
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
3/5
3/5 is a battalion of the United States Marine Corps known for its infantry combat role and distinguished service in multiple major conflicts.
|
E352659
|
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: 3/5 | Statement: [3rd Battalion, 5th Marines, abbreviation, 3/5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3/5 Context triple: [3rd Battalion, 5th Marines, abbreviation, 3/5]
-
A.
2/5
2/5 is the commonly used nickname for the 2nd Battalion, 5th Marines, a highly decorated infantry battalion of the United States Marine Corps.
-
B.
3/75
3/75 is the commonly used shorthand designation for the U.S. Army’s 3rd Battalion, 75th Ranger Regiment, an elite special operations light infantry unit.
-
C.
2/4
2/4 is a battalion of the United States Marine Corps known as the 2nd Battalion, 4th Marines, an infantry unit with a long history of combat deployments.
-
D.
B3
B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
-
E.
B3
B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
- 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: 3/5 Triple: [3rd Battalion, 5th Marines, abbreviation, 3/5]
Generated description
3/5 is a battalion of the United States Marine Corps known for its infantry combat role and distinguished service in multiple major conflicts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 3/5 Target entity description: 3/5 is a battalion of the United States Marine Corps known for its infantry combat role and distinguished service in multiple major conflicts.
-
A.
2/5
2/5 is the commonly used nickname for the 2nd Battalion, 5th Marines, a highly decorated infantry battalion of the United States Marine Corps.
-
B.
3/75
3/75 is the commonly used shorthand designation for the U.S. Army’s 3rd Battalion, 75th Ranger Regiment, an elite special operations light infantry unit.
-
C.
2/4
2/4 is a battalion of the United States Marine Corps known as the 2nd Battalion, 4th Marines, an infantry unit with a long history of combat deployments.
-
D.
B3
B3 is the third-generation Volkswagen Passat, produced in the early 1990s and known for its aerodynamic, grille-less front design and improved engineering over its predecessors.
-
E.
B3
B3 is Brazil’s main stock exchange, responsible for trading equities, derivatives, and other financial assets in the Brazilian market.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2890480819082fe2e3c2874cece |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3343664cc81909793820377b4bdc1 |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334f75e708190aed8b388c9ea55d2 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3359ab56881908e247ba54c7dd6c7 |
completed | March 12, 2026, 9:52 p.m. |
Created at: March 8, 2026, 3:13 p.m.