Triple
T32955264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4th United States Cavalry Regiment |
E843080
|
entity |
| Predicate | hasSubunit |
P747
|
FINISHED |
| Object |
2nd Squadron, 4th Cavalry Regiment
The 2nd Squadron, 4th Cavalry Regiment is a U.S. Army cavalry squadron known for its reconnaissance and security roles as part of the historic 4th Cavalry Regiment.
|
E2033367
|
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: 2nd Squadron, 4th Cavalry Regiment | Statement: [4th United States Cavalry Regiment, hasSubunit, 2nd Squadron, 4th 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: 2nd Squadron, 4th Cavalry Regiment Triple: [4th United States Cavalry Regiment, hasSubunit, 2nd Squadron, 4th Cavalry Regiment]
Generated description
The 2nd Squadron, 4th Cavalry Regiment is a U.S. Army cavalry squadron known for its reconnaissance and security roles as part of the historic 4th Cavalry Regiment.
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_69f3494a31f481909057136e49b4fe60 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d172304c819084a6f320ef4c847e |
completed | May 3, 2026, 4:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34e4fc18c88190ad59c271efb559bd |
completed | June 19, 2026, 6:43 a.m. |
| NEDg | Description generation | batch_6a34e588a4208190b83f8015859fb574 |
completed | June 19, 2026, 6:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a34e65cd52c819095d49ff45c521ad1 |
completed | June 19, 2026, 6:49 a.m. |
Created at: May 1, 2026, 1:21 a.m.