Triple

T3603035
Position Surface form Disambiguated ID Type / Status
Subject Arvind and Chandan Nandlal Kilachand Honors College E76301 entity
Predicate abbreviation P43 FINISHED
Object KHC
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
 E371361 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: KHC | Statement: [Arvind and Chandan Nandlal Kilachand Honors College, abbreviation, KHC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KHC
Context triple: [Arvind and Chandan Nandlal Kilachand Honors College, abbreviation, KHC]
  • A. KCH
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • B. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • C. KHM
    KHM is the commonly used abbreviation for the Kunsthistorisches Museum, a major art and cultural history museum in Vienna, Austria.
  • D. KTXH
    KTXH is a Houston-based television station that serves the local market with syndicated and network programming.
  • E. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • 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: KHC
Triple: [Arvind and Chandan Nandlal Kilachand Honors College, abbreviation, KHC]
Generated description
KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KHC
Target entity description: KHC is a selective interdisciplinary honors college at Boston University that offers an enriched curriculum and close-knit academic community for high-achieving undergraduates.
  • A. KCH
    KCH is the vehicle registration code assigned to the town of Chrzanów in southern Poland.
  • B. KRH
    KRH is the commonly used abbreviation for the King’s Royal Hussars, a British Army cavalry regiment.
  • C. KHM
    KHM is the commonly used abbreviation for the Kunsthistorisches Museum, a major art and cultural history museum in Vienna, Austria.
  • D. KTXH
    KTXH is a Houston-based television station that serves the local market with syndicated and network programming.
  • E. KGH
    KGH is the National Rail station code for Kinghorn railway station in Fife, Scotland.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1df08a48190a4a4a20c8821b321 completed March 8, 2026, 6:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4031dce448190b112ba4d5fa16ee0 completed March 13, 2026, 12:29 p.m.
NEDg Description generation batch_69b4039ebeb88190b3e2e87621939391 completed March 13, 2026, 12:31 p.m.
NED2 Entity disambiguation (via description) batch_69b408778220819086935bfa9c0dd4fd completed March 13, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:22 p.m.