Triple
T9179552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottrop |
E220286
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
BOT
BOT is the official vehicle registration code used on license plates for the German city of Bottrop.
|
E781795
|
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: BOT | Statement: [Bottrop, vehicleRegistrationCode, BOT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BOT Context triple: [Bottrop, vehicleRegistrationCode, BOT]
-
A.
BOT
The Bank of Thailand (BOT) is the central bank of Thailand responsible for monetary policy, financial stability, and regulation of the country’s banking system.
-
B.
BAT
BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
-
C.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
-
D.
Bo
Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
-
E.
Bo
Bo is a masculine given name commonly used in Scandinavian countries and parts of Europe.
- 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: BOT Triple: [Bottrop, vehicleRegistrationCode, BOT]
Generated description
BOT is the official vehicle registration code used on license plates for the German city of Bottrop.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BOT Target entity description: BOT is the official vehicle registration code used on license plates for the German city of Bottrop.
-
A.
BOT
The Bank of Thailand (BOT) is the central bank of Thailand responsible for monetary policy, financial stability, and regulation of the country’s banking system.
-
B.
BAT
BAT is the regional public transportation agency serving Brockton, Massachusetts and surrounding communities.
-
C.
BAT
BAT is a major multinational tobacco company known for producing and marketing cigarettes and other nicotine products worldwide.
-
D.
Bo
Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
-
E.
Bo
Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
- 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_69ca83e589948190ac9907819db11ddf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc25064588190856c96b229d9cd60 |
completed | April 1, 2026, 6:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d054b5512c8190aa7909ef8b56b186 |
completed | April 4, 2026, midnight |
| NEDg | Description generation | batch_69d055c6b7f08190ad6ff81adffaeab1 |
completed | April 4, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d05655a27c8190b0445476c10f57ce |
completed | April 4, 2026, 12:07 a.m. |
Created at: March 30, 2026, 7:23 p.m.