Triple

T4224160
Position Surface form Disambiguated ID Type / Status
Subject Halle (Saale) E94413 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HAL
HAL is the vehicle registration code used on license plates for the German city of Halle (Saale).
 E422887 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: HAL | Statement: [Halle (Saale), vehicleRegistrationCode, HAL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HAL
Context triple: [Halle (Saale), vehicleRegistrationCode, HAL]
  • A. HAL
    HAL is the ICAO airline designator used to identify Hawaiian Airlines in international aviation operations.
  • B. HAL
    HAL is the stock ticker symbol for Halliburton Company, a major American oilfield services and energy industry equipment provider.
  • C. Hal
    Hal is a masculine given name, commonly used as a diminutive form of Harold.
  • D. Hel
    Hel is the Norse goddess who rules over the underworld realm of the dead that bears her name.
  • E. Hel
    Hel is a town and popular seaside resort located at the tip of the Hel Peninsula on Poland’s Baltic coast.
  • 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: HAL
Triple: [Halle (Saale), vehicleRegistrationCode, HAL]
Generated description
HAL is the vehicle registration code used on license plates for the German city of Halle (Saale).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HAL
Target entity description: HAL is the vehicle registration code used on license plates for the German city of Halle (Saale).
  • A. HAL
    HAL is the ICAO airline designator used to identify Hawaiian Airlines in international aviation operations.
  • B. HAL
    HAL is the stock ticker symbol for Halliburton Company, a major American oilfield services and energy industry equipment provider.
  • C. Hal
    Hal is a masculine given name, commonly used as a diminutive form of Harold.
  • D. Hel
    Hel is the Norse goddess who rules over the underworld realm of the dead that bears her name.
  • E. Hel
    Hel is a town and popular seaside resort located at the tip of the Hel Peninsula on Poland’s Baltic coast.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e4bf6088190926b982039a12079 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964532e08190bb1dc56f734e6ebb completed March 14, 2026, 5:09 p.m.
NEDg Description generation batch_69b59a0e97d481908dfbab773468f3d5 completed March 14, 2026, 5:25 p.m.
NED2 Entity disambiguation (via description) batch_69b59e23353c819080b56841d7f32cae completed March 14, 2026, 5:42 p.m.
Created at: March 12, 2026, 11:04 p.m.