Triple
T16991090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Split-Dalmatia County |
E412194
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
ST
ST is the vehicle registration code used on license plates for vehicles registered in Croatia’s Split-Dalmatia County.
|
E1245002
|
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: ST | Statement: [Split-Dalmatia County, vehicleRegistrationCode, ST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ST Context triple: [Split-Dalmatia County, vehicleRegistrationCode, ST]
-
A.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
B.
ST
ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
-
C.
ST
ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
-
D.
ST
ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
-
E.
ST
ST is the commonly used abbreviation for SkyTeam, a major global airline alliance.
- 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: ST Triple: [Split-Dalmatia County, vehicleRegistrationCode, ST]
Generated description
ST is the vehicle registration code used on license plates for vehicles registered in Croatia’s Split-Dalmatia County.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ST Target entity description: ST is the vehicle registration code used on license plates for vehicles registered in Croatia’s Split-Dalmatia County.
-
A.
ST
ST is the vehicle registration code used on license plates for vehicles registered in the Steinfurt district of Germany.
-
B.
ST
ST is the two-letter ISO 3166-1 alpha-2 country code representing São Tomé and Príncipe.
-
C.
ST
ST is the common abbreviation for Sound Transit, the regional public transit agency serving the Seattle metropolitan area in Washington State.
-
D.
ST
ST is the reporting mark used by the Springfield Terminal Railway, a regional railroad in New England.
-
E.
ST
ST is the common abbreviation for Stade Toulousain, a leading French rugby union club based in Toulouse.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d280e3348190a27bd5dc7cf87c0e |
completed | April 18, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc14d5688190945f7ae72f724922 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d5aeb0819086f1a5d279ac0d0f |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0115c967b0819088e2335fd45d755b |
completed | May 10, 2026, 11:33 p.m. |
Created at: April 10, 2026, 5:32 a.m.