Triple

T2080901
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Office of Coastal Zone Management E45238 entity
Predicate hasAbbreviation P43 FINISHED
Object CZM
CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
E231433 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: CZM | Statement: [Massachusetts Office of Coastal Zone Management, hasAbbreviation, CZM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CZM
Context triple: [Massachusetts Office of Coastal Zone Management, hasAbbreviation, CZM]
  • A. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • B. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • C. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • D. ZMB
    ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
  • E. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • 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: CZM
Triple: [Massachusetts Office of Coastal Zone Management, hasAbbreviation, CZM]
Generated description
CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CZM
Target entity description: CZM is the Massachusetts state agency responsible for protecting, managing, and enhancing the Commonwealth’s coastal resources and communities.
  • A. CZ
    CZ is the IATA airline designator assigned to China Southern Airlines, one of China’s largest carriers.
  • B. CZI
    CZI is a philanthropic organization founded by Priscilla Chan and Mark Zuckerberg that focuses on advancing science, education, and social justice through technology-driven initiatives and grantmaking.
  • C. ZM
    ZM is the stock ticker symbol for Zoom Video Communications, a leading provider of cloud-based video conferencing and online collaboration services.
  • D. ZMB
    ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
  • E. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba345be48190a1895f388e7749e5 completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae273ad87c8190a7b1407868692202 completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae27b2c9d08190b1950abd8d41d3b3 completed March 9, 2026, 1:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae2817ce3c81908e48170760cf98ef completed March 9, 2026, 1:53 a.m.
Created at: March 4, 2026, 7:41 p.m.