Triple

T14613035
Position Surface form Disambiguated ID Type / Status
Subject Port of New Haven E343006 entity
Predicate UNLocode P1800 FINISHED
Object USHVN
USHVN is the UN/LOCODE identifier for the Port of New Haven, a commercial seaport located in New Haven, Connecticut, USA.
E1111273 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: USHVN | Statement: [Port of New Haven, UNLocode, USHVN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: USHVN
Context triple: [Port of New Haven, UNLocode, USHVN]
  • A. VSNU
    VSNU is the Association of Universities in the Netherlands, representing and coordinating the interests of Dutch research universities.
  • B. HVN
    HVN is the IATA airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
  • C. HVN
    HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
  • D. VKSU
    VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
  • E. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • 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: USHVN
Triple: [Port of New Haven, UNLocode, USHVN]
Generated description
USHVN is the UN/LOCODE identifier for the Port of New Haven, a commercial seaport located in New Haven, Connecticut, USA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: USHVN
Target entity description: USHVN is the UN/LOCODE identifier for the Port of New Haven, a commercial seaport located in New Haven, Connecticut, USA.
  • A. VSNU
    VSNU is the Association of Universities in the Netherlands, representing and coordinating the interests of Dutch research universities.
  • B. HVN
    HVN is the IATA airport code for Tweed New Haven Airport, a regional airport serving New Haven, Connecticut.
  • C. HVN
    HVN is the ICAO airline designator used to identify Vietnam Airlines in international aviation operations.
  • D. VKSU
    VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
  • E. VU
    VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
NEDg Description generation batch_69fdb35a57f08190a2d3fe426185bc31 completed May 8, 2026, 9:56 a.m.
NED2 Entity disambiguation (via description) batch_69fdb400e08081908d0a782908ba5459 completed May 8, 2026, 9:59 a.m.
Created at: April 10, 2026, 1:25 a.m.