Triple
T4086665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bad Mergentheim |
E87603
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
TBB
TBB is the vehicle registration code used on license plates for the German town of Bad Mergentheim and its surrounding district.
|
E413668
|
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: TBB | Statement: [Bad Mergentheim, vehicleRegistrationCode, TBB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TBB Context triple: [Bad Mergentheim, vehicleRegistrationCode, TBB]
-
A.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
B.
BBR
BBR is the common abbreviation for Basketball-Reference.com, a comprehensive online database of basketball statistics and historical player and team information.
-
C.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
D.
TB
TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
-
E.
Bt
Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
- 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: TBB Triple: [Bad Mergentheim, vehicleRegistrationCode, TBB]
Generated description
TBB is the vehicle registration code used on license plates for the German town of Bad Mergentheim and its surrounding district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TBB Target entity description: TBB is the vehicle registration code used on license plates for the German town of Bad Mergentheim and its surrounding district.
-
A.
TIB
TIB is a major German academic institution and library specializing in science and technology information, including digital and research data services.
-
B.
BBR
BBR is the common abbreviation for Basketball-Reference.com, a comprehensive online database of basketball statistics and historical player and team information.
-
C.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
-
D.
TB
TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
-
E.
Bt
Bt is the post-nominal abbreviation for a baronetcy title in the British honours system, indicating that the holder is a baronet.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7ceeb48190807f0f5078ccfa12 |
completed | March 9, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b6335c4819093538f261a5093b3 |
completed | March 14, 2026, 2:06 p.m. |
| NEDg | Description generation | batch_69b56f249fa08190b14793f298ed160c |
completed | March 14, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b56f91065c8190bd6767249109d715 |
completed | March 14, 2026, 2:24 p.m. |
Created at: March 9, 2026, 3:39 p.m.