Triple
T36523186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camp Lockett |
E900229
|
entity |
| Predicate | garrisonedUnit |
P27828
|
FINISHED |
| Object |
28th Cavalry Regiment
The 28th Cavalry Regiment was a segregated African American horse cavalry unit of the United States Army that served during World War II before the Army’s mounted forces were disbanded.
|
E2188426
|
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: 28th Cavalry Regiment | Statement: [Camp Lockett, garrisonedUnit, 28th Cavalry Regiment]
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: 28th Cavalry Regiment Triple: [Camp Lockett, garrisonedUnit, 28th Cavalry Regiment]
Generated description
The 28th Cavalry Regiment was a segregated African American horse cavalry unit of the United States Army that served during World War II before the Army’s mounted forces were disbanded.
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_69f76e5eedb88190a393b8c623f71dd7 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c215b8b8819088b38537619fc465 |
completed | May 3, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39e6dab3408190b01680460a3af088 |
completed | June 23, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a39e76e610081909e3f832eaf70b746 |
completed | June 23, 2026, 1:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a39e88d8954819083d2669a9223a0aa |
completed | June 23, 2026, 1:59 a.m. |
Created at: May 3, 2026, 4:11 p.m.