Triple
T2029367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evangelical Lutheran Church in Bavaria |
E44480
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
ELKB
ELKB is the Evangelical Lutheran regional church body serving the Protestant community in the German state of Bavaria.
|
E226900
|
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: ELKB | Statement: [Evangelical Lutheran Church in Bavaria, abbreviation, ELKB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ELKB Context triple: [Evangelical Lutheran Church in Bavaria, abbreviation, ELKB]
-
A.
ELY
ELY is a historic cathedral city in Cambridgeshire, England, known for its prominent Ely Cathedral and picturesque setting in the Fens.
-
B.
El
El is the chief god of the ancient Canaanite pantheon, often depicted as a patriarchal creator and father of other deities.
-
C.
El
El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
-
D.
EB
EB is the Executive Board of the World Health Organization, a governing body that advises and facilitates the implementation of the World Health Assembly’s decisions and policies.
-
E.
LEBL
LEBL is the ICAO airport code for Barcelona–El Prat Airport, the main international gateway serving Barcelona, Spain.
- 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: ELKB Triple: [Evangelical Lutheran Church in Bavaria, abbreviation, ELKB]
Generated description
ELKB is the Evangelical Lutheran regional church body serving the Protestant community in the German state of Bavaria.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ELKB Target entity description: ELKB is the Evangelical Lutheran regional church body serving the Protestant community in the German state of Bavaria.
-
A.
ELY
ELY is a historic cathedral city in Cambridgeshire, England, known for its prominent Ely Cathedral and picturesque setting in the Fens.
-
B.
El
El is the chief god of the ancient Canaanite pantheon, often depicted as a patriarchal creator and father of other deities.
-
C.
El
El is the common nickname for Philadelphia’s elevated Market–Frankford rapid transit line operated by SEPTA.
-
D.
EB
EB is the Executive Board of the World Health Organization, a governing body that advises and facilitates the implementation of the World Health Assembly’s decisions and policies.
-
E.
LEBL
LEBL is the ICAO airport code for Barcelona–El Prat Airport, the main international gateway serving Barcelona, Spain.
- 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_69a889144f2481909932f0746a93023d |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb914a40081909a937689bea3dc85 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0afea7848190b53b8813a567879d |
completed | March 8, 2026, 11:49 p.m. |
| NEDg | Description generation | batch_69ae0b8cda248190b88b353c1768c3d7 |
completed | March 8, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0c31f00c8190bb29098f95ee4cb9 |
completed | March 8, 2026, 11:54 p.m. |
Created at: March 4, 2026, 7:38 p.m.