Triple
T25586246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groß Dölln |
E641390
|
entity |
| Predicate | hasNearbyFacility |
P5648
|
FINISHED |
| Object |
Groß Dölln former military airfield
Groß Dölln former military airfield is a decommissioned Cold War-era airbase in Brandenburg, Germany, formerly used by Soviet forces and now partly repurposed for civilian and commercial activities.
|
E1687464
|
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: Groß Dölln former military airfield | Statement: [Groß Dölln, hasNearbyFacility, Groß Dölln former military airfield]
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: Groß Dölln former military airfield Triple: [Groß Dölln, hasNearbyFacility, Groß Dölln former military airfield]
Generated description
Groß Dölln former military airfield is a decommissioned Cold War-era airbase in Brandenburg, Germany, formerly used by Soviet forces and now partly repurposed for civilian and commercial activities.
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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f9698c3c8190b93af7d959ecd7c1 |
completed | May 2, 2026, 1:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10b765371c81908c709769db3af62f |
completed | May 22, 2026, 8:07 p.m. |
| NEDg | Description generation | batch_6a10b84ad3ac8190b78bec4cd68a84e8 |
completed | May 22, 2026, 8:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10b9606818819094491a74c5922378 |
completed | May 22, 2026, 8:15 p.m. |
Created at: April 21, 2026, 4:16 p.m.