Triple

T19916
Position Surface form Disambiguated ID Type / Status
Subject Havana E396 entity
Predicate UNLOCODE P1800 FINISHED
Object CUHAV
CUHAV is the UN/LOCODE identifier for the port and city of Havana, the capital of Cuba.
E3725 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: CUHAV | Statement: [Havana, UNLOCODE, CUHAV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CUHAV
Context triple: [Havana, UNLOCODE, CUHAV]
  • A. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • B. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • C. SHASS
    SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
  • D. Revs
    Revs is the commonly used nickname for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • E. Crown
    The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
  • 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: CUHAV
Triple: [Havana, UNLOCODE, CUHAV]
Generated description
CUHAV is the UN/LOCODE identifier for the port and city of Havana, the capital of Cuba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CUHAV
Target entity description: CUHAV is the UN/LOCODE identifier for the port and city of Havana, the capital of Cuba.
  • A. GAU
    GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
  • B. HUP
    HUP is a major academic medical center in Philadelphia that serves as the flagship teaching hospital of the University of Pennsylvania's health system.
  • C. SHASS
    SHASS is the abbreviated name commonly used for the School of Humanities, Arts, and Social Sciences at academic institutions.
  • D. Aha Makhav
    Aha Makhav is the endonym used by the Mojave people to refer to themselves and their cultural identity.
  • E. Revs
    Revs is the commonly used nickname for the New England Revolution, a professional Major League Soccer club based in the Greater Boston area.
  • 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_69a240778d288190815c0052ebbbcc91 completed Feb. 28, 2026, 1:10 a.m.
NER Named-entity recognition batch_69a2481e91c88190ad0fb09cddc5f446 completed Feb. 28, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69a24e57e3fc8190a3ce561a4692115c completed Feb. 28, 2026, 2:09 a.m.
NEDg Description generation batch_69a24ede3374819089e7fae28c6c9d63 completed Feb. 28, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69a24fc8a2a881909e5ae2e03757fbec completed Feb. 28, 2026, 2:15 a.m.
Created at: Feb. 28, 2026, 1:14 a.m.