Triple
T30320558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volkswagen Crafter |
E771185
|
entity |
| Predicate | secondGenerationAssemblyLocation |
P195451
|
FINISHED |
| Object |
Września, Poland
Września, Poland is a town in west-central Poland known for its industrial facilities, including a major Volkswagen vehicle assembly plant.
|
E1910443
|
NE FINISHED |
How this triple was built (3 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: Września, Poland | Statement: [Volkswagen Crafter, secondGenerationAssemblyLocation, Września, Poland]
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: Września, Poland Triple: [Volkswagen Crafter, secondGenerationAssemblyLocation, Września, Poland]
Generated description
Września, Poland is a town in west-central Poland known for its industrial facilities, including a major Volkswagen vehicle assembly plant.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondGenerationAssemblyLocation Context triple: [Volkswagen Crafter, secondGenerationAssemblyLocation, Września, Poland]
-
A.
thirdGenerationAssembly
Indicates that an entity is assembled or produced using third-generation manufacturing or assembly processes.
-
B.
secondGenerationCode
Indicates that the subject is a second-generation version or iteration of a codebase, derived from and improving upon an earlier generation.
-
C.
secondPhaseLocation
Indicates the location where the second phase of an event, process, or operation takes place.
-
D.
locationOfAssembly
Indicates the place where a group, object, or structure is put together, constructed, or assembled.
-
E.
secondGenerationProduction
Indicates that the production activity involves a second generation of products, technologies, or processes derived from an earlier initial generation.
- F. None of above. chosen
Provenance (7 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_69f22489ee8481909344649bfbb92e83 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdd2be648c8190b60b3d1caeb44364 |
completed | May 8, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a277c14c9688190b2a6875c39fca80a |
completed | June 9, 2026, 2:36 a.m. |
| NEDg | Description generation | batch_6a277cefc06881909023e8a019d6395a |
completed | June 9, 2026, 2:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a277dac3814819086f5f3efc1a79349 |
completed | June 9, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69fdd14a5c708190a6f95ec61f4fc28f |
completed | May 8, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69fdd2bda90881909aa229194d014ba7 |
completed | May 8, 2026, 12:10 p.m. |
Created at: April 29, 2026, 7:52 p.m.