Triple
T2989381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blindheim |
E80708
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
DLG
DLG is the vehicle registration code for the municipality of Blindheim in Germany.
|
E316251
|
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: DLG | Statement: [Blindheim, hasVehicleRegistrationCode, DLG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DLG Context triple: [Blindheim, hasVehicleRegistrationCode, DLG]
-
A.
DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
-
B.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
-
D.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
- 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: DLG Triple: [Blindheim, hasVehicleRegistrationCode, DLG]
Generated description
DLG is the vehicle registration code for the municipality of Blindheim in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DLG Target entity description: DLG is the vehicle registration code for the municipality of Blindheim in Germany.
-
A.
DLH
DLH is the ICAO airline designator used for Lufthansa, Germany's largest and flag carrier airline.
-
B.
DAL
DAL is the standard three-letter abbreviation used for the NFL team the Dallas Cowboys.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
-
D.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
E.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99dcdb00819092ca5f10396408e0 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b10900bf2481908b7742604c6d75e9 |
completed | March 11, 2026, 6:17 a.m. |
| NEDg | Description generation | batch_69b10bda5d848190af553c5f245b165d |
completed | March 11, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b10c9198288190a3e3ea7112ea4460 |
completed | March 11, 2026, 6:32 a.m. |
Created at: March 8, 2026, 2:59 p.m.