Triple

T12421422
Position Surface form Disambiguated ID Type / Status
Subject Panzhihua E296780 entity
Predicate abbreviation P43 FINISHED
Object PZH
PZH is the commonly used abbreviation for Panzhihua, a prefecture-level city in Sichuan Province, China, known for its rich mineral resources and steel industry.
 E632913 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: PZH | Statement: [Panzhihua, abbreviation, PZH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PZH
Context triple: [Panzhihua, abbreviation, PZH]
  • A. PZH
    PZH is the IATA airport code for Zhob Airport in Balochistan, Pakistan.
  • B. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • C. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • D. PZ
    PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
  • E. PZ
    PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • 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: PZH
Triple: [Panzhihua, abbreviation, PZH]
Generated description
PZH is the commonly used abbreviation for Panzhihua, a prefecture-level city in Sichuan Province, China, known for its rich mineral resources and steel industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PZH
Target entity description: PZH is the commonly used abbreviation for Panzhihua, a prefecture-level city in Sichuan Province, China, known for its rich mineral resources and steel industry.
  • A. PZH chosen
    PZH is the IATA airport code for Zhob Airport in Balochistan, Pakistan.
  • B. PZ
    PZ is the IATA airline designator assigned to LATAM Airlines Paraguay, the Paraguayan branch of the LATAM Airlines Group.
  • C. PZ
    PZ is the commonly used abbreviation for Peshawar Zalmi, a professional cricket franchise that competes in the Pakistan Super League.
  • D. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • E. PZ
    PZ is the Italian vehicle registration code assigned to the Province of Potenza in the Basilicata region.
  • F. None of above.

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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d702b1481909db5f5bed6292ce0 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6349552fc81909fe73dea082e3a25 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356c21908190b34d1324da8f8052 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63693f5c881909a9683a0c6a68739 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:55 p.m.