Triple
T14245440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giurgiu |
E353119
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
GR
GR is the vehicle registration code used on license plates for vehicles registered in Giurgiu, a city in southern Romania.
|
E1087379
|
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: GR | Statement: [Giurgiu, vehicleRegistrationCode, GR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GR Context triple: [Giurgiu, vehicleRegistrationCode, GR]
-
A.
GR
GR is the stock ticker symbol for Goodrich Corporation, a former major American aerospace and defense company known for manufacturing aircraft systems and components.
-
B.
GR
GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
-
C.
GR
GR is the performance and motorsport sub-brand of Toyota, known for developing high-performance road cars and competing in international racing series.
-
D.
GR
GR is the standard abbreviation for the extensive network of long-distance hiking trails known as the Grande Randonnée routes, primarily found across France and other European countries.
-
E.
GR
GR is the ISO 3166-1 alpha-2 country code for Greece, a southeastern European nation known for its ancient history and numerous islands.
- 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: GR Triple: [Giurgiu, vehicleRegistrationCode, GR]
Generated description
GR is the vehicle registration code used on license plates for vehicles registered in Giurgiu, a city in southern Romania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GR Target entity description: GR is the vehicle registration code used on license plates for vehicles registered in Giurgiu, a city in southern Romania.
-
A.
GR
GR is the ISO 3166-1 alpha-2 country code for Greece, a southeastern European nation known for its ancient history and numerous islands.
-
B.
GR
GR is the standard abbreviation for Georgian Railway, the national rail transport company of Georgia.
-
C.
GR
GR is the official two-letter abbreviation used to designate the Swiss canton of Graubünden.
-
D.
GR
GR is the standard abbreviation for the extensive network of long-distance hiking trails known as the Grande Randonnée routes, primarily found across France and other European countries.
-
E.
GR
GR is the stock ticker symbol for Goodrich Corporation, a former major American aerospace and defense company known for manufacturing aircraft systems and components.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd282571ec819080d187ecec3ed925 |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2a9da52481909f580eb0df3e1922 |
completed | May 8, 2026, 12:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2b270c9c8190a573e53ca9af4e4b |
completed | May 8, 2026, 12:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.