Triple
T11843280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rotenburg (Wümme) |
E281706
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ROW
ROW is the vehicle registration code for the Rotenburg (Wümme) district in the German state of Lower Saxony.
|
E949215
|
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: ROW | Statement: [Rotenburg (Wümme), vehicleRegistrationCode, ROW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROW Context triple: [Rotenburg (Wümme), vehicleRegistrationCode, ROW]
-
A.
ROW
ROW is the three-letter IATA airport code for Roswell Air Center in Roswell, New Mexico.
-
B.
The Rows
The Rows are a distinctive series of medieval two-tiered, half-timbered shopping galleries lining the main streets in the historic center of Chester, England.
-
C.
Long Row
Long Row is a prominent street and shopping frontage bordering Old Market Square in Nottingham, England, known for its historic buildings and retail activity.
-
D.
R line
The R line is a New York City Subway service that runs through Brooklyn, Manhattan, and Queens, connecting neighborhoods like Park Slope with the broader transit network.
-
E.
R line
The R line is a Finnish commuter rail service operating in the Helsinki region, connecting central Helsinki with outlying towns such as Riihimäki and serving intermediate stations including Ainola.
- 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: ROW Triple: [Rotenburg (Wümme), vehicleRegistrationCode, ROW]
Generated description
ROW is the vehicle registration code for the Rotenburg (Wümme) district in the German state of Lower Saxony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ROW Target entity description: ROW is the vehicle registration code for the Rotenburg (Wümme) district in the German state of Lower Saxony.
-
A.
ROW
ROW is the three-letter IATA airport code for Roswell Air Center in Roswell, New Mexico.
-
B.
The Rows
The Rows are a distinctive series of medieval two-tiered, half-timbered shopping galleries lining the main streets in the historic center of Chester, England.
-
C.
Long Row
Long Row is a prominent street and shopping frontage bordering Old Market Square in Nottingham, England, known for its historic buildings and retail activity.
-
D.
R line
The R line is a New York City Subway service that runs through Brooklyn, Manhattan, and Queens, connecting neighborhoods like Park Slope with the broader transit network.
-
E.
R line
The R line is a Finnish commuter rail service operating in the Helsinki region, connecting central Helsinki with outlying towns such as Riihimäki and serving intermediate stations including Ainola.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1679729c08190a9f6750586f90d8d |
completed | April 29, 2026, 2:06 a.m. |
| NEDg | Description generation | batch_69f17005c318819090e54bc64d135477 |
completed | April 29, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f17814de1881908973af026af5d1d1 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 8, 2026, 9:43 p.m.