Triple

T12920695
Position Surface form Disambiguated ID Type / Status
Subject Ahal Region E309109 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object AH
AH is the vehicle registration code assigned to the Ahal Region in Turkmenistan.
 E1011691 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: AH | Statement: [Ahal Region, hasVehicleRegistrationCode, AH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AH
Context triple: [Ahal Region, hasVehicleRegistrationCode, AH]
  • A. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • B. AH
    AH is the IATA airline designator assigned to Air Algérie, the national flag carrier of Algeria.
  • C. HA
    HA is the IATA airline designator for Hawaiian Airlines, the largest and longest-serving commercial airline based in Hawaii.
  • D. AH1
    AH1 is a major route in the Asian Highway Network that runs from Tokyo, Japan, through multiple Asian countries to the border between Turkey and Bulgaria in Europe.
  • E. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • 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: AH
Triple: [Ahal Region, hasVehicleRegistrationCode, AH]
Generated description
AH is the vehicle registration code assigned to the Ahal Region in Turkmenistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AH
Target entity description: AH is the vehicle registration code assigned to the Ahal Region in Turkmenistan.
  • A. AH
    AH is a German vehicle registration code associated with the town of Alstätte.
  • B. AH
    AH is the IATA airline designator assigned to Air Algérie, the national flag carrier of Algeria.
  • C. HA
    HA is the IATA airline designator for Hawaiian Airlines, the largest and longest-serving commercial airline based in Hawaii.
  • D. AH1
    AH1 is a major route in the Asian Highway Network that runs from Tokyo, Japan, through multiple Asian countries to the border between Turkey and Bulgaria in Europe.
  • E. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e7f6e881908c7bb12283898c80 completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5ffcc48190bf93ce32e4aecfcd completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0653ef88190ad0e3a48675ecdcc completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1a539148190be7a4f16f738ca90 completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:41 p.m.