Triple
T20729902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmendingen (district) |
E509544
|
entity |
| Predicate | ISO3166-2Code |
P208
|
FINISHED |
| Object |
DE-EM
DE-EM is the ISO 3166-2 subdivision code assigned to the Emmendingen district in the German state of Baden-Württemberg.
|
E1447082
|
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: DE-EM | Statement: [Emmendingen (district), ISO3166-2Code, DE-EM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DE-EM Context triple: [Emmendingen (district), ISO3166-2Code, DE-EM]
-
A.
DEE
DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
-
B.
DE-TH
DE-TH is the ISO 3166-2 subdivision code for the German federal state of Thuringia.
-
C.
DESE
DESE is the state agency responsible for overseeing public elementary and secondary education in Missouri, including setting academic standards, administering assessments, and supporting local school districts.
-
D.
DESE
DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
-
E.
ESMD
ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
- 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: DE-EM Triple: [Emmendingen (district), ISO3166-2Code, DE-EM]
Generated description
DE-EM is the ISO 3166-2 subdivision code assigned to the Emmendingen district in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DE-EM Target entity description: DE-EM is the ISO 3166-2 subdivision code assigned to the Emmendingen district in the German state of Baden-Württemberg.
-
A.
DEE
DEE is the IATA airport code for Yuzhno-Kurilsk Mendeleyevo Airport, which serves the town of Yuzhno-Kurilsk in Russia’s Kuril Islands.
-
B.
DE-TH
DE-TH is the ISO 3166-2 subdivision code for the German federal state of Thuringia.
-
C.
DESE
DESE is the state agency responsible for overseeing public elementary and secondary education in Missouri, including setting academic standards, administering assessments, and supporting local school districts.
-
D.
DESE
DESE is the state agency responsible for overseeing public elementary and secondary education in Massachusetts, including standards, accountability, and school support.
-
E.
ESMD
ESMD is the former NASA directorate responsible for developing human and robotic exploration systems for missions beyond low Earth orbit.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1ec9820819093a07f90503686b2 |
completed | April 21, 2026, 12:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08e060f4d8819097ca1dc0d59a610c |
completed | May 16, 2026, 9:23 p.m. |
| NEDg | Description generation | batch_6a08e170755881909c73ebd2d7b00f0f |
completed | May 16, 2026, 9:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08e1e759ec8190a305662f220a1826 |
completed | May 16, 2026, 9:30 p.m. |
Created at: April 16, 2026, 12:30 p.m.