Triple
T9434321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herford |
E227462
|
entity |
| Predicate | hasRegionCodeNUTS |
P2415
|
FINISHED |
| Object |
DEA43
DEA43 is the NUTS regional statistical code assigned to the district of Herford in the German federal state of North Rhine-Westphalia.
|
E799914
|
NE FINISHED |
How this triple was built (4 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: DEA43 | Statement: [Herford, hasRegionCodeNUTS, DEA43]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DEA43 Context triple: [Herford, hasRegionCodeNUTS, DEA43]
-
A.
DEA
DEA is an abbreviation commonly used for the Department of Economic Affairs, a government body responsible for formulating and implementing economic policy.
-
B.
DEA
DEA is an early U.S. government–standardized symmetric-key block cipher algorithm that was widely used for data encryption before being superseded by more secure standards.
-
C.
DE-131
DE-131 was the hull classification symbol for USS Hammann, a World War II-era U.S. Navy destroyer escort.
-
D.
D3A
D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
-
E.
AdE
AdE is the commonly used abbreviation for the Italian Revenue Agency, the government body responsible for tax collection and enforcement in Italy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: DEA43 Triple: [Herford, hasRegionCodeNUTS, DEA43]
Generated description
DEA43 is the NUTS regional statistical code assigned to the district of Herford in the German federal state of North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DEA43 Target entity description: DEA43 is the NUTS regional statistical code assigned to the district of Herford in the German federal state of North Rhine-Westphalia.
-
A.
DEA
DEA is an early U.S. government–standardized symmetric-key block cipher algorithm that was widely used for data encryption before being superseded by more secure standards.
-
B.
DEA
DEA is an abbreviation commonly used for the Department of Economic Affairs, a government body responsible for formulating and implementing economic policy.
-
C.
DE-131
DE-131 was the hull classification symbol for USS Hammann, a World War II-era U.S. Navy destroyer escort.
-
D.
D3A
D3A is the Japanese Navy designation for the Aichi D3A, a World War II carrier-based dive bomber used prominently in early Pacific War operations.
-
E.
AdE
AdE is the commonly used abbreviation for the Italian Revenue Agency, the government body responsible for tax collection and enforcement in Italy.
- F. None of above. chosen
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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e62d53c81908055e0967e6cd54d |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104a002481909ca805893bac61c6 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d110ffda7881908e4edd692b818464 |
completed | April 4, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d11190dd6c8190b6318df44daa9858 |
completed | April 4, 2026, 1:26 p.m. |
Created at: March 30, 2026, 7:49 p.m.