Triple

T2923961
Position Surface form Disambiguated ID Type / Status
Subject Albanian Riviera E78798 entity
Predicate hasHighway P385 FINISHED
Object SH8
SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
E309588 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: SH8 | Statement: [Albanian Riviera, hasHighway, SH8]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SH8
Context triple: [Albanian Riviera, hasHighway, SH8]
  • A. SHF
    SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • B. SHAR
    SHAR is the commonly used abbreviation for the Satish Dhawan Space Centre, India’s primary spaceport operated by ISRO for satellite launches.
  • C. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • D. SHR
    SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
  • E. SHH
    SHH is the railway station code used to identify Shanghai South Railway Station in China’s rail network.
  • 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: SH8
Triple: [Albanian Riviera, hasHighway, SH8]
Generated description
SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SH8
Target entity description: SH8 is a scenic coastal highway in southern Albania that winds along the Albanian Riviera, connecting key seaside towns and offering views of the Ionian Sea.
  • A. SHF
    SHF is the National Rail station code for Sheffield railway station, a major rail hub in South Yorkshire, England.
  • B. SHAR
    SHAR is the commonly used abbreviation for the Satish Dhawan Space Centre, India’s primary spaceport operated by ISRO for satellite launches.
  • C. S89
    S89 is a Staten Island bus route in New York City that provides local transit service connecting New Springville with other parts of the borough.
  • D. SHR
    SHR is the three-letter National Rail station code assigned to Shrewsbury railway station in Shropshire, England.
  • E. SHH
    SHH is the railway station code used to identify Shanghai South Railway Station in China’s rail network.
  • 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_69ad8b0d40b481908bc2a5fa2e73c3fb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad97bf2df88190bd4f1e90d4656507 completed March 8, 2026, 3:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b056375b5c819081c7d4fd506cbf25 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05f640afc8190bf9b5b90ff7c9b0e completed March 10, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b06010c1948190a2e13084a79b106b completed March 10, 2026, 6:16 p.m.
Created at: March 8, 2026, 2:55 p.m.