Triple

T18063281
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen Planning and Natural Resources Bureau E432231 entity
Predicate hasAbbreviation P43 FINISHED
Object SPNRB
SPNRB is the government agency in Shenzhen responsible for urban planning, land management, and natural resource administration.
 E1304502 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: SPNRB | Statement: [Shenzhen Planning and Natural Resources Bureau, hasAbbreviation, SPNRB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPNRB
Context triple: [Shenzhen Planning and Natural Resources Bureau, hasAbbreviation, SPNRB]
  • A. SPN
    SPN was the acronym for Portugal’s Secretariado de Propaganda Nacional, the Estado Novo regime’s official propaganda agency responsible for controlling and disseminating political messaging.
  • B. SPN
    SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
  • C. SPN
    SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
  • D. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • E. NRB
    NRB is the IATA airport code for the airfield at Naval Station Mayport, a major U.S. Navy base near Jacksonville, Florida.
  • 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: SPNRB
Triple: [Shenzhen Planning and Natural Resources Bureau, hasAbbreviation, SPNRB]
Generated description
SPNRB is the government agency in Shenzhen responsible for urban planning, land management, and natural resource administration.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPNRB
Target entity description: SPNRB is the government agency in Shenzhen responsible for urban planning, land management, and natural resource administration.
  • A. SPN
    SPN was the acronym for Portugal’s Secretariado de Propaganda Nacional, the Estado Novo regime’s official propaganda agency responsible for controlling and disseminating political messaging.
  • B. SPN
    SPN is the National Rail station code for Spooner Row railway station in Norfolk, England.
  • C. SPN
    SPN is the vehicle registration code used on license plates for the town of Spremberg in Germany.
  • D. SPN
    SPN is the IATA airport code for Saipan International Airport, the main air gateway to Saipan in the Northern Mariana Islands.
  • E. NRB
    NRB is the IATA airport code for the airfield at Naval Station Mayport, a major U.S. Navy base near Jacksonville, Florida.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4cce5d2188190ba77d06061d6e77a completed April 19, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03566e299c8190aa4c746183a4736a completed May 12, 2026, 4:33 p.m.
NEDg Description generation batch_6a03597b2d3c81909425547a91b58fdd completed May 12, 2026, 4:46 p.m.
NED2 Entity disambiguation (via description) batch_6a0359d89b7c819088b202cd618014fd completed May 12, 2026, 4:48 p.m.
Created at: April 10, 2026, 10:26 a.m.