Triple
T21357653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammelburg |
E526677
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object |
HAB
HAB is the vehicle registration code used on license plates for the town of Hammelburg in Germany.
|
E1480582
|
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: HAB | Statement: [Hammelburg, hasVehicleRegistrationCode, HAB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HAB Context triple: [Hammelburg, hasVehicleRegistrationCode, HAB]
-
A.
HAB
HAB is the HIV/AIDS Bureau, a U.S. federal agency component that oversees programs and funding to improve care and treatment for people living with HIV.
-
B.
HAB
HAB is the ICAO airline designator assigned to Harbour Air Seaplanes, a Canadian seaplane operator based in British Columbia.
-
C.
HABD
HABD is the ICAO airport code for Bishoftu Air Base, a military airfield in Ethiopia.
-
D.
Habo
Habo is a locality in southern Sweden known as the seat of Habo Municipality in the historical province of Västergötland.
-
E.
HAP
HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
- 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: HAB Triple: [Hammelburg, hasVehicleRegistrationCode, HAB]
Generated description
HAB is the vehicle registration code used on license plates for the town of Hammelburg in Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HAB Target entity description: HAB is the vehicle registration code used on license plates for the town of Hammelburg in Germany.
-
A.
HAB
HAB is the HIV/AIDS Bureau, a U.S. federal agency component that oversees programs and funding to improve care and treatment for people living with HIV.
-
B.
HAB
HAB is the ICAO airline designator assigned to Harbour Air Seaplanes, a Canadian seaplane operator based in British Columbia.
-
C.
HABD
HABD is the ICAO airport code for Bishoftu Air Base, a military airfield in Ethiopia.
-
D.
Habo
Habo is a locality in southern Sweden known as the seat of Habo Municipality in the historical province of Västergötland.
-
E.
HAP
HAP is Apple's HomeKit Accessory Protocol, a communication standard that defines how smart home accessories securely interact with Apple devices and the Home app.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa2d11c81908608851940e4e6d3 |
completed | April 22, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09ad65626c819081615b512241fe1c |
completed | May 17, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_6a09b14b7694819084b4b391fa821961 |
completed | May 17, 2026, 12:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09b1af3e708190b7b2971db2508f7b |
completed | May 17, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:07 p.m.