Triple
T34066583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10th Armored Infantry Battalion |
E873641
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
U.S. Army armored divisions
U.S. Army armored divisions were combined-arms military formations that integrated tanks, mechanized infantry, artillery, and support units to conduct fast, mobile warfare for the United States during major conflicts such as World War II and the Cold War.
|
E533600
|
NE 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: U.S. Army armored divisions | Statement: [10th Armored Infantry Battalion, associatedWith, U.S. Army armored divisions]
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: U.S. Army armored divisions Triple: [10th Armored Infantry Battalion, associatedWith, U.S. Army armored divisions]
Generated description
U.S. Army armored divisions were combined-arms military formations that integrated tanks, mechanized infantry, artillery, and support units to conduct fast, mobile warfare for the United States during major conflicts such as World War II and the Cold War.
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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70ba50a188190b595083c3acd350a |
completed | May 3, 2026, 8:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36ae4ba4e881908c1db6ba15fb80c8 |
completed | June 20, 2026, 3:14 p.m. |
| NEDg | Description generation | batch_6a36aef5e62c81909695813abde97094 |
completed | June 20, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36afe7a9208190952f11924f15856b |
completed | June 20, 2026, 3:21 p.m. |
Created at: May 1, 2026, 1:52 a.m.