Triple

T17923051
Position Surface form Disambiguated ID Type / Status
Subject CARL E448119 entity
Predicate abbreviationFrench P36183 FINISHED
Object ABRC
ABRC is the French abbreviation for the Centre d’Accueil et de Réadaptation pour les Lésions Cérébrales (CARL), an organization focused on care and rehabilitation for individuals with brain injuries.
E1296839 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: ABRC | Statement: [CARL, abbreviationFrench, ABRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ABRC
Context triple: [CARL, abbreviationFrench, ABRC]
  • A. ABR
    ABR is the three-letter IATA airport code for Aberdeen Regional Airport in Aberdeen, South Dakota, USA.
  • B. ABCL
    ABCL (Armed Bear Common Lisp) is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine, enabling interoperability with Java code.
  • C. ASRC
    ASRC is the on-campus athletic and events arena that serves as the primary basketball venue for West Liberty University.
  • D. ARB
    ARB is the California state agency responsible for regulating air quality and reducing air pollution and greenhouse gas emissions.
  • E. ARB
    ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
  • 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: ABRC
Triple: [CARL, abbreviationFrench, ABRC]
Generated description
ABRC is the French abbreviation for the Centre d’Accueil et de Réadaptation pour les Lésions Cérébrales (CARL), an organization focused on care and rehabilitation for individuals with brain injuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ABRC
Target entity description: ABRC is the French abbreviation for the Centre d’Accueil et de Réadaptation pour les Lésions Cérébrales (CARL), an organization focused on care and rehabilitation for individuals with brain injuries.
  • A. ABR
    ABR is the three-letter IATA airport code for Aberdeen Regional Airport in Aberdeen, South Dakota, USA.
  • B. ABCL
    ABCL (Armed Bear Common Lisp) is an implementation of the Common Lisp programming language that runs on the Java Virtual Machine, enabling interoperability with Java code.
  • C. ASRC
    ASRC is the on-campus athletic and events arena that serves as the primary basketball venue for West Liberty University.
  • D. ARB
    ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
  • E. ARB
    ARB is the California state agency responsible for regulating air quality and reducing air pollution and greenhouse gas emissions.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a30bde508190bc529ccae81f0e2a completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0321327e4c8190bdc90976312a9913 completed May 12, 2026, 12:46 p.m.
NEDg Description generation batch_6a032313086c8190b3c6c657a98942c0 completed May 12, 2026, 12:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0323f4a2c48190914075393ab1aca7 completed May 12, 2026, 12:58 p.m.
Created at: April 10, 2026, 10:20 a.m.