Triple

T15467720
Position Surface form Disambiguated ID Type / Status
Subject Highbridge and Burnham E372072 entity
Predicate hasStationCode P1289 FINISHED
Object HIG
HIG is the National Rail station code for Highbridge and Burnham railway station in Somerset, England.
 E305743 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: HIG | Statement: [Highbridge and Burnham, hasStationCode, HIG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HIG
Context triple: [Highbridge and Burnham, hasStationCode, HIG]
  • A. HIG
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • B. HGI
    HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
  • C. HuHi
    HuHi is a South Korean professional League of Legends player known primarily for his role as a mid laner in the North American competitive scene.
  • D. Higgi
    Higgi are an ethnic group indigenous to northeastern Nigeria, particularly associated with Adamawa State.
  • E. HIJ
    HIJ is the three-letter IATA airport code assigned to Hiroshima Airport in Japan.
  • 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: HIG
Triple: [Highbridge and Burnham, hasStationCode, HIG]
Generated description
HIG is the National Rail station code for Highbridge and Burnham railway station in Somerset, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HIG
Target entity description: HIG is the National Rail station code for Highbridge and Burnham railway station in Somerset, England.
  • A. HIG chosen
    HIG is the stock ticker symbol for The Hartford Financial Services Group, a major U.S.-based insurance and investment company.
  • B. HGI
    HGI is the IATA airport code for Donyi Polo Airport, a regional airport serving the town of Itanagar in Arunachal Pradesh, India.
  • C. HuHi
    HuHi is a South Korean professional League of Legends player known primarily for his role as a mid laner in the North American competitive scene.
  • D. Higgi
    Higgi are an ethnic group indigenous to northeastern Nigeria, particularly associated with Adamawa State.
  • E. HIJ
    HIJ is the three-letter IATA airport code assigned to Hiroshima Airport in Japan.
  • F. None of above.

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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f69a31c81909a749247b6615d91 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d03845c8190bc8cb96827a5da39 completed May 9, 2026, 12:48 p.m.
NEDg Description generation batch_69ff2e2fb3e48190b2274d54586b1f00 completed May 9, 2026, 12:53 p.m.
NED2 Entity disambiguation (via description) batch_69ff2ec231dc8190b82333e3e54ced20 completed May 9, 2026, 12:55 p.m.
Created at: April 10, 2026, 3:33 a.m.