Triple
T28589265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XX Bomber Command |
E723596
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object |
Pratt Army Air Field, Kansas
Pratt Army Air Field in Kansas was a World War II United States Army Air Forces base that served as a key training and operational center for bomber units.
|
E1825629
|
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: Pratt Army Air Field, Kansas | Statement: [XX Bomber Command, headquartersLocation, Pratt Army Air Field, Kansas]
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: Pratt Army Air Field, Kansas Triple: [XX Bomber Command, headquartersLocation, Pratt Army Air Field, Kansas]
Generated description
Pratt Army Air Field in Kansas was a World War II United States Army Air Forces base that served as a key training and operational center for bomber units.
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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f651b1e7fc819090eb5bde76da5093 |
completed | May 2, 2026, 7:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1cb6f9c54081909734a5976cceec39 |
completed | May 31, 2026, 10:32 p.m. |
| NEDg | Description generation | batch_6a1cba82f39c81909e14e1b84288dae2 |
completed | May 31, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1cbb0bfcfc8190a8358c2b690880ae |
completed | May 31, 2026, 10:49 p.m. |
Created at: April 28, 2026, 4:19 a.m.