Triple

T16637003
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Hopewell Trail E404231 entity
Predicate hasAbbreviation P43 FINISHED
Object LHT
LHT is a multi-use recreational trail in the Lawrence and Hopewell areas of New Jersey, popular for walking, running, and cycling.
 E1224475 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: LHT | Statement: [Lawrence Hopewell Trail, hasAbbreviation, LHT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LHT
Context triple: [Lawrence Hopewell Trail, hasAbbreviation, LHT]
  • A. LHD
    LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
  • B. LHO
    LHO is the National Rail station code for Langho railway station in Lancashire, England.
  • C. LHF
    LHF is the governing body responsible for organizing and overseeing ice hockey activities and national teams in Latvia.
  • D. LH
    LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
  • E. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • 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: LHT
Triple: [Lawrence Hopewell Trail, hasAbbreviation, LHT]
Generated description
LHT is a multi-use recreational trail in the Lawrence and Hopewell areas of New Jersey, popular for walking, running, and cycling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LHT
Target entity description: LHT is a multi-use recreational trail in the Lawrence and Hopewell areas of New Jersey, popular for walking, running, and cycling.
  • A. LHD
    LHD is the National Rail station code for Leatherhead railway station in Surrey, England.
  • B. LHO
    LHO is the National Rail station code for Langho railway station in Lancashire, England.
  • C. LHF
    LHF is the governing body responsible for organizing and overseeing ice hockey activities and national teams in Latvia.
  • D. LH
    LH is the two-letter IATA airline designator used to identify Lufthansa flights in global aviation systems.
  • E. LH
    The LH is a mid-1970s generation of the Holden Torana, an Australian compact car series known for its performance-oriented variants and motorsport success.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378ea4b848190bf7c95dad8a855f0 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc28df48190b01c1328df24df60 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e8cff9881908c6b86da38fc2f08 completed May 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a007f53918481908d84ecf50a562266 completed May 10, 2026, 12:51 p.m.
Created at: April 10, 2026, 5:17 a.m.