Triple
T1301725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceuta |
E27777
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
CE
CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
|
E149585
|
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: CE | Statement: [Ceuta, vehicleRegistrationCode, CE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CE Context triple: [Ceuta, vehicleRegistrationCode, CE]
-
A.
EC
EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
-
B.
ED
ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
-
C.
E
E is the letter designation for the E branch of Boston’s MBTA Green Line light rail service.
-
D.
E
The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
-
E.
SC
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
- 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: CE Triple: [Ceuta, vehicleRegistrationCode, CE]
Generated description
CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CE Target entity description: CE is the vehicle registration code used on license plates for the Spanish autonomous city of Ceuta in North Africa.
-
A.
EC
EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
-
B.
ED
ED is the federal agency responsible for establishing policy, administering, and coordinating most education-related programs in the United States.
-
C.
E
E is the letter designation for the E branch of Boston’s MBTA Green Line light rail service.
-
D.
E
The E is a New York City Subway line that runs between Queens and Manhattan, providing a key rapid transit connection used by AirTrain JFK passengers traveling to and from the city.
-
E.
SC
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c115ba64819081c55fa6807e19ef |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acb30292dc8190a33fd62c997c3f1b |
completed | March 7, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69acb42dd7488190935d289907e5ed91 |
completed | March 7, 2026, 11:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acb48a873081909a9d4d27ed8b7a7a |
completed | March 7, 2026, 11:28 p.m. |
Created at: March 1, 2026, 7:51 p.m.