Triple

T1035310
Position Surface form Disambiguated ID Type / Status
Subject Harvard Longwood Campus E22346 entity
Predicate hasAbbreviation P43 FINISHED
Object HLC
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
 E119450 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: HLC | Statement: [Harvard Longwood Campus, hasAbbreviation, HLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLC
Context triple: [Harvard Longwood Campus, hasAbbreviation, HLC]
  • A. HLLS
    HLLS is the ICAO airport code for Sabha Airport, a public airport serving the city of Sabha in southwestern Libya.
  • B. HRL
    HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
  • C. HILJ
    HILJ is a leading academic journal published by Harvard Law School that focuses on scholarship in public and private international law.
  • D. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • E. HMC
    HMC is the stock ticker symbol for Honda Motor Co., Ltd., a major Japanese multinational manufacturer of automobiles, motorcycles, and power equipment.
  • 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: HLC
Triple: [Harvard Longwood Campus, hasAbbreviation, HLC]
Generated description
HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLC
Target entity description: HLC is the commonly used abbreviation for the Harvard Longwood Campus, a major Harvard University hub for medical and public health education and research in Boston.
  • A. HLLS
    HLLS is the ICAO airport code for Sabha Airport, a public airport serving the city of Sabha in southwestern Libya.
  • B. HRL
    HRL is a renowned research center known for pioneering work in fields such as microelectronics, information and quantum sciences, and advanced materials.
  • C. HILJ
    HILJ is a leading academic journal published by Harvard Law School that focuses on scholarship in public and private international law.
  • D. HMC
    HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
  • E. HMC
    HMC is the stock ticker symbol for Honda Motor Co., Ltd., a major Japanese multinational manufacturer of automobiles, motorcycles, and power equipment.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b816272c8190a12e470c4d4ebcf9 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc15a6c81909a71bf17b5cd4019 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c7e0be0819092544d47d1e8970e completed March 7, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cd94ab48190ade678fdce311b03 completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:41 p.m.